{"meta":{"query_hash":"b2a9513d340e","filters":{"venue":"Biometric Technology Today"},"cohort_total":28,"direct_labels_cover":0,"predictions_cover":28,"exported":28,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/b2a9513d340e","api":"https://metacan.xera.ac/api/v1/cohort?venue=Biometric+Technology+Today"},"results":[{"id":"W1967684343","doi":"10.1016/s0969-4765(12)70035-8","title":"Facial biometrics lays down the law in the US and Hong Kong","year":2012,"lang":"en","type":"article","venue":"Biometric Technology Today","topic":"Face recognition and analysis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Biometrics; Law enforcement; Quarter (Canadian coin); Enforcement; Face (sociological concept); Law; Political science; Business; Internet privacy; Computer security; Computer science; Sociology; History","score_opus":0.018183707410310557,"score_gpt":0.24832106568171672,"score_spread":0.23013735827140616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967684343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7234471,0.006291071,0.0058392794,0.085101046,0.0026785366,0.00017472832,0.0009313934,0.00015560753,0.17538118],"genre_scores_gemma":[0.9235108,0.0024120263,0.0015952687,0.009971409,0.000114617724,0.000037517588,0.00018453177,0.000034760822,0.062139023],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99833846,0.00025278595,0.00013908223,0.0002536522,0.00046192374,0.00055412244],"domain_scores_gemma":[0.9975573,0.0002901591,0.00026797786,0.00032279632,0.0010712672,0.00049059076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038924168,0.0002596326,0.00032788675,0.0005493862,0.0021562285,0.0034521816,0.0003867851,0.0008144827,0.003192143],"category_scores_gemma":[0.0041975672,0.00032832436,0.00030919115,0.0006778218,0.004021949,0.0025918235,0.0016129476,0.0023689396,0.00062131556],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00076277816,0.00031582054,0.29450542,0.00018507811,0.00009481225,0.003246214,0.020025548,0.0014878501,0.0071520275,0.25402704,0.10234897,0.31584847],"study_design_scores_gemma":[0.00007549873,0.00061352673,0.4167919,0.0007214042,0.000102095226,0.0014847128,0.033192992,0.0026580861,0.0063212654,0.0161493,0.5216117,0.00027756148],"about_ca_topic_score_codex":0.43744344,"about_ca_topic_score_gemma":0.34734458,"teacher_disagreement_score":0.43744344,"about_ca_system_score_codex":0.007345503,"about_ca_system_score_gemma":0.010485741,"threshold_uncertainty_score":0.8697945},"labels":[],"label_agreement":null},{"id":"W3137236694","doi":"10.1016/s0969-4765(21)00035-7","title":"Bridging the trust gaps in biometrics","year":2021,"lang":"en","type":"article","venue":"Biometric Technology Today","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Future Earth","funders":"","keywords":"Biometrics; Disinformation; Scrutiny; Internet privacy; Bridging (networking); Computer security; Business; Political science; Social media; Computer science; Law","score_opus":0.025110813135056,"score_gpt":0.27354796253217156,"score_spread":0.24843714939711556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137236694","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03997908,0.040154774,0.19821705,0.5120962,0.0030454767,0.00010932356,0.00043904094,0.00043537718,0.20552368],"genre_scores_gemma":[0.9355714,0.01724581,0.015697079,0.01663324,0.002095799,0.00012819636,0.00021529848,0.00015861948,0.012254582],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9773921,0.011389731,0.0013119242,0.002119885,0.005906396,0.0018800084],"domain_scores_gemma":[0.8747367,0.08180301,0.008121058,0.016899344,0.013193135,0.0052467305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03303741,0.00053864444,0.0011115373,0.0019197299,0.003994292,0.013054231,0.002498367,0.007334004,0.016817423],"category_scores_gemma":[0.107676715,0.00074508763,0.00053438684,0.001518845,0.013401207,0.03430687,0.013508319,0.0085631665,0.0044210115],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016629262,0.000046849458,0.001520392,0.00038767685,0.00003349058,0.0004531762,0.0028670502,0.0015631991,0.0005720497,0.8775158,0.020701699,0.09417226],"study_design_scores_gemma":[0.000022577973,0.00006840877,0.00060545263,0.00079689483,0.000021473572,0.00061062735,0.002068388,0.0047790646,0.0007702365,0.8809012,0.109307244,0.000048501868],"about_ca_topic_score_codex":0.0034350404,"about_ca_topic_score_gemma":0.0019900524,"teacher_disagreement_score":0.03303741,"about_ca_system_score_codex":0.0053652474,"about_ca_system_score_gemma":0.007577166,"threshold_uncertainty_score":0.17472059},"labels":[],"label_agreement":null},{"id":"W4205206055","doi":"10.1016/s0969-4765(08)70160-7","title":"Cogent revenues dip but income rises","year":2008,"lang":"en","type":"article","venue":"Biometric Technology Today","topic":"State Capitalism and Financial Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Revenue; Settlement (finance); Net income; Agricultural economics; Business; Economics; Geography; Finance; Archaeology; Payment","score_opus":0.018795905536366248,"score_gpt":0.21340241868825502,"score_spread":0.19460651315188876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205206055","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08374101,0.003221159,0.0015920876,0.21016447,0.007012728,0.000048989095,0.0052494667,0.0018162531,0.6871538],"genre_scores_gemma":[0.44408435,0.0024568427,0.0013694924,0.047437016,0.0023265546,0.000052351246,0.0067921705,0.00084101455,0.49464026],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99827766,0.00008426678,0.000034019526,0.00021147507,0.0007906067,0.00060191064],"domain_scores_gemma":[0.9984351,0.0001284642,0.00016537266,0.00010628527,0.0006331298,0.0005317397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001025358,0.0005383357,0.0002897426,0.0011498935,0.0020603312,0.008050095,0.00077662664,0.002730067,0.05751616],"category_scores_gemma":[0.0058293696,0.00023620336,0.0004560813,0.0013891906,0.0014266723,0.0044328645,0.002393214,0.0036453581,0.023276936],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020505929,0.000072416566,0.005930414,0.000054959168,0.00001356948,0.0002852407,0.00043645053,0.00019297958,0.00058559555,0.104844525,0.81136614,0.07601265],"study_design_scores_gemma":[0.000016664004,0.000030636584,0.017117156,0.00004269766,0.0000039827883,0.0001258516,0.00056181004,0.0001551819,0.00043039786,0.0059679565,0.97553045,0.000017060042],"about_ca_topic_score_codex":0.023416728,"about_ca_topic_score_gemma":0.023027714,"teacher_disagreement_score":0.05751616,"about_ca_system_score_codex":0.005062253,"about_ca_system_score_gemma":0.003813014,"threshold_uncertainty_score":0.19241071},"labels":[],"label_agreement":null},{"id":"W4205814947","doi":"10.1016/s0969-4765(06)70510-0","title":"Saflink annual results disappointing","year":2006,"lang":"en","type":"article","venue":"Biometric Technology Today","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Blame; Corporation; Quarter (Canadian coin); Government (linguistics); Business; Finance; Focus (optics); Accounting; History; Psychology","score_opus":0.005385635035985713,"score_gpt":0.23623657401491002,"score_spread":0.2308509389789243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205814947","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008587549,0.0061225686,0.0023962103,0.443711,0.08260743,0.00031475312,0.009899626,0.0056554293,0.4407054],"genre_scores_gemma":[0.03946249,0.0027571276,0.0015274904,0.09126979,0.008687059,0.00017076421,0.007272077,0.0012857479,0.84756744],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9832661,0.0014119473,0.00066478935,0.00064378435,0.012859746,0.0011535452],"domain_scores_gemma":[0.9651069,0.0041084997,0.0011669003,0.001617029,0.023808768,0.0041919146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012577859,0.0008044929,0.0005847385,0.0021987306,0.003997124,0.0120635675,0.0013252597,0.008498505,0.11256725],"category_scores_gemma":[0.03406506,0.00042891214,0.00089452235,0.0013702341,0.0011943447,0.0027242946,0.001866703,0.0047400207,0.1236776],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003716774,0.000022229884,0.00025993792,0.00002261232,0.000002673353,0.00005552372,0.000026722813,0.000021721058,0.00011151646,0.00068355154,0.9904974,0.008258982],"study_design_scores_gemma":[0.00001929928,0.00006153722,0.0012187554,0.000038268478,0.000007525169,0.00009194228,0.000119364595,0.00011083759,0.0004144535,0.00042013713,0.99748284,0.000015058544],"about_ca_topic_score_codex":0.009302706,"about_ca_topic_score_gemma":0.016125055,"teacher_disagreement_score":0.11256725,"about_ca_system_score_codex":0.0037423794,"about_ca_system_score_gemma":0.0054879813,"threshold_uncertainty_score":0.37657493},"labels":[],"label_agreement":null},{"id":"W4213210239","doi":"10.1016/s0969-4765(05)00244-4","title":"Saflink revenue rises, but losses deepen","year":2005,"lang":"en","type":"article","venue":"Biometric Technology Today","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Revenue; Business; Finance; Operations management; Actuarial science; Engineering; History","score_opus":0.014908323806776567,"score_gpt":0.216344128674588,"score_spread":0.20143580486781143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213210239","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014553352,0.0037001015,0.0034515099,0.09502757,0.0072856997,0.000086002954,0.009077964,0.006517417,0.8603004],"genre_scores_gemma":[0.06754376,0.0034796114,0.0016172286,0.017895803,0.0020230014,0.000043975666,0.012252706,0.0014353945,0.8937086],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99683553,0.00020515152,0.000098233126,0.0003118438,0.0022471007,0.00030211278],"domain_scores_gemma":[0.99319154,0.0006940589,0.00050921354,0.00074091536,0.00365312,0.0012110907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020539302,0.0005586684,0.0003876197,0.0021348463,0.0027728518,0.010044751,0.0009006105,0.003706749,0.17430925],"category_scores_gemma":[0.010098958,0.00033790257,0.00052087265,0.0030831322,0.00090163056,0.008610833,0.00256182,0.0030391004,0.236468],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079364916,0.00004687767,0.002028703,0.000041075495,0.0000071183413,0.000097720185,0.00013149965,0.00009019601,0.00056402356,0.01026101,0.8952058,0.091446705],"study_design_scores_gemma":[0.000009788808,0.000025189884,0.0027135413,0.000025774803,0.0000035553576,0.00012839607,0.0002279786,0.00013675985,0.000355121,0.0017039786,0.99466175,0.000008211242],"about_ca_topic_score_codex":0.005794662,"about_ca_topic_score_gemma":0.0051821168,"teacher_disagreement_score":0.17430925,"about_ca_system_score_codex":0.0028016863,"about_ca_system_score_gemma":0.0020677026,"threshold_uncertainty_score":0.58312255},"labels":[],"label_agreement":null},{"id":"W4230639133","doi":"10.1016/s0969-4765(04)00044-x","title":"Canada announces airport worker ID","year":2004,"lang":"en","type":"article","venue":"Biometric Technology Today","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Biometrics; Smart card; Fingerprint (computing); Business; Computer security; Carry (investment); Airport security; Iris recognition; Internet privacy; Computer science; Finance","score_opus":0.018596905649815525,"score_gpt":0.20439872850759674,"score_spread":0.1858018228577812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230639133","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013502623,0.0021080985,0.002257718,0.11787114,0.023063328,0.0011600597,0.054602034,0.0034770279,0.78195804],"genre_scores_gemma":[0.019254932,0.00089129043,0.0015229887,0.023803253,0.0009478934,0.00013032179,0.011568026,0.0002532587,0.94162804],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99443465,0.00010160556,0.000098561795,0.00025241254,0.0037466483,0.0013662323],"domain_scores_gemma":[0.99027073,0.00039884276,0.00013905142,0.0002830566,0.0065186955,0.0023896038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026062564,0.00077349367,0.0004845841,0.0022340266,0.007029836,0.0053442214,0.0014515104,0.0069245473,0.05537741],"category_scores_gemma":[0.0058105094,0.0007540804,0.00068873767,0.0014747861,0.0010329428,0.0010927463,0.0015244518,0.0053827213,0.020767337],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021276115,0.00001913911,0.00083635875,0.000016021015,0.0000033155136,0.000067914116,0.000040467257,0.000034268476,0.00017955329,0.0020776696,0.99112433,0.0055795363],"study_design_scores_gemma":[0.000013715083,0.000016821641,0.0041758195,0.000019602585,0.0000044194594,0.000022259992,0.00012466645,0.00009948618,0.00017782376,0.00016812302,0.995159,0.000018269562],"about_ca_topic_score_codex":0.96197957,"about_ca_topic_score_gemma":0.98237395,"teacher_disagreement_score":0.05537741,"about_ca_system_score_codex":0.027509682,"about_ca_system_score_gemma":0.09802935,"threshold_uncertainty_score":0.19959766},"labels":[],"label_agreement":null},{"id":"W4231958154","doi":"10.1016/s0969-4765(02)00904-9","title":"Iris recoconition deal worth C$39 is awarded in Canada","year":2002,"lang":"en","type":"article","venue":"Biometric Technology Today","topic":"Corporate Governance and Law","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"IRIS (biosensor); Biometrics; Business; Iris recognition; Computer security; Computer science; Advertising; Internet privacy","score_opus":0.020186722658282242,"score_gpt":0.18788740009744914,"score_spread":0.1677006774391669,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231958154","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010325055,0.001224807,0.00056761265,0.034772612,0.0088080615,0.0004077264,0.0052566505,0.0010928652,0.9375446],"genre_scores_gemma":[0.004115038,0.00008862445,0.00008548695,0.000837382,0.0001229692,0.000010500088,0.00028070272,0.000045909634,0.99441355],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9959928,0.000101996004,0.00007103376,0.00030371035,0.0022501848,0.0012803075],"domain_scores_gemma":[0.99486357,0.0002815068,0.00008483167,0.00026879658,0.0031956967,0.001305611],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017987037,0.0008067372,0.0014038358,0.0029816309,0.012335636,0.008087175,0.0018264559,0.011276303,0.24207951],"category_scores_gemma":[0.004524747,0.00083626364,0.0013715057,0.0014449559,0.0017220344,0.0013075205,0.0020113958,0.005936166,0.08906731],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001713516,0.00006672016,0.0015071933,0.000034296216,0.000018547156,0.00020117675,0.00009192913,0.00012936124,0.00059350795,0.009790112,0.971395,0.016000716],"study_design_scores_gemma":[0.00003673266,0.0000543406,0.005961452,0.000037761365,0.000020830434,0.0000675181,0.00028444023,0.00035261954,0.0006060626,0.0008530786,0.99169123,0.000033864508],"about_ca_topic_score_codex":0.7959315,"about_ca_topic_score_gemma":0.923682,"teacher_disagreement_score":0.24207951,"about_ca_system_score_codex":0.021630919,"about_ca_system_score_gemma":0.043110557,"threshold_uncertainty_score":0.8098366},"labels":[],"label_agreement":null},{"id":"W4231965611","doi":"10.1016/s0969-4765(08)70130-9","title":"CATSA expands Canadian airport worker scheme","year":2008,"lang":"en","type":"article","venue":"Biometric Technology Today","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Biometrics; Identification (biology); Scheme (mathematics); Business; Fingerprint (computing); Computer security; Iris recognition; Airport security; Smart card; Security system; Transport engineering; Engineering; Computer science","score_opus":0.04297405279440705,"score_gpt":0.21738344075408964,"score_spread":0.17440938795968258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231965611","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.049756736,0.0006900289,0.0028257556,0.012070828,0.0017388244,0.0016497938,0.032538902,0.0016185867,0.8971105],"genre_scores_gemma":[0.10485669,0.0006734379,0.003173594,0.0037034226,0.00026006138,0.00047374863,0.014946886,0.00021037528,0.8717017],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9958075,0.00015967409,0.00008830933,0.00031226227,0.0020806855,0.0015515208],"domain_scores_gemma":[0.99256015,0.00024630324,0.00010677565,0.00062631024,0.0045037027,0.0019568352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018932916,0.00055504066,0.0004435619,0.0030578414,0.006996911,0.0027965207,0.0022539888,0.0015117179,0.14600438],"category_scores_gemma":[0.004721604,0.00037402715,0.00061725825,0.0026138893,0.00079721713,0.000834609,0.0023999983,0.0019231837,0.023579895],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028827076,0.000134207,0.010125835,0.00010648345,0.000016078437,0.0002666407,0.0006171003,0.0005040042,0.0017691518,0.054476403,0.8358956,0.095800094],"study_design_scores_gemma":[0.00004406112,0.000038444687,0.016150784,0.000032242817,0.000009228889,0.00007309978,0.0002346217,0.00047257636,0.00021497352,0.0004947155,0.9822057,0.000029639692],"about_ca_topic_score_codex":0.9512688,"about_ca_topic_score_gemma":0.9706497,"teacher_disagreement_score":0.14600438,"about_ca_system_score_codex":0.027917832,"about_ca_system_score_gemma":0.08838304,"threshold_uncertainty_score":0.4884333},"labels":[],"label_agreement":null},{"id":"W4233804091","doi":"10.1016/s0969-4765(18)30148-6","title":"Schools helped to use controversial face ID system","year":2018,"lang":"en","type":"article","venue":"Biometric Technology Today","topic":"Face recognition and analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Biometrics; Launched; Internet privacy; Face (sociological concept); Facial recognition system; Advice (programming); Computer security; Advertising; Business; Engineering; Computer science; Sociology; Artificial intelligence","score_opus":0.01633794275333653,"score_gpt":0.24787545405536973,"score_spread":0.2315375113020332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233804091","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1826592,0.0015834575,0.124872014,0.11012114,0.013725275,0.0022016272,0.004467518,0.05100432,0.5093654],"genre_scores_gemma":[0.33488002,0.00085553346,0.056875143,0.0207125,0.000680791,0.00042827494,0.0015751412,0.003424679,0.5805679],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99555826,0.00060247007,0.00025879685,0.001082438,0.0017625026,0.00073546486],"domain_scores_gemma":[0.99221534,0.00067079003,0.00030506673,0.0008046691,0.004911449,0.0010927265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026933467,0.0011128082,0.0006321996,0.002049571,0.0060417918,0.002763334,0.0011277196,0.003239535,0.0870554],"category_scores_gemma":[0.010044144,0.000953738,0.00073540147,0.0009084481,0.0012206063,0.0026565883,0.0033570076,0.004255799,0.058646455],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036280527,0.00094684435,0.014718316,0.0002524491,0.000034523917,0.0018162662,0.009049957,0.0005333789,0.0112165455,0.008356287,0.5305027,0.42220995],"study_design_scores_gemma":[0.000057052028,0.00019072174,0.00578313,0.00009039075,0.000052877538,0.0007341547,0.0034231853,0.001584966,0.008868582,0.0014251673,0.97769475,0.00009500881],"about_ca_topic_score_codex":0.03151679,"about_ca_topic_score_gemma":0.039971106,"teacher_disagreement_score":0.0870554,"about_ca_system_score_codex":0.0026387738,"about_ca_system_score_gemma":0.00435063,"threshold_uncertainty_score":0.2912293},"labels":[],"label_agreement":null},{"id":"W4234252808","doi":"10.1016/s0969-4765(09)70075-x","title":"Cogent posts strong figures in first quarter","year":2009,"lang":"en","type":"article","venue":"Biometric Technology Today","topic":"Social Issues and Policies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Revenue; Settlement (finance); Net income; Agricultural economics; Business; Finance; Economics; Geography; Payment; Archaeology","score_opus":0.019385724689618102,"score_gpt":0.3265324981226994,"score_spread":0.30714677343308133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234252808","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008730075,0.0013175805,0.00038655772,0.05582915,0.020449439,0.00007211426,0.003975576,0.0011344845,0.9081051],"genre_scores_gemma":[0.04580233,0.0007803779,0.00047285433,0.01851501,0.0026036424,0.00008442232,0.0028828902,0.0005970375,0.9282614],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9954066,0.00027415465,0.00010804354,0.0003906521,0.0025617562,0.0012587118],"domain_scores_gemma":[0.995082,0.0004180784,0.00028538777,0.00045134473,0.002543353,0.0012197597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028646118,0.0006987799,0.00043089892,0.001722578,0.0035603463,0.010881019,0.0010708648,0.004439918,0.16043316],"category_scores_gemma":[0.01147884,0.0003424989,0.00045005573,0.0013754101,0.0010353309,0.0031661894,0.0023473238,0.0048032636,0.07272702],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040142168,0.000017778375,0.00045490573,0.000027241033,0.0000022184145,0.000044868008,0.00008791787,0.000017738948,0.00018878952,0.01200697,0.97512895,0.011982661],"study_design_scores_gemma":[0.0000045473485,0.000016529488,0.0023906464,0.00002196888,0.000001265142,0.000019358593,0.00010892475,0.000025406114,0.00017415607,0.0006062175,0.996624,0.000006993341],"about_ca_topic_score_codex":0.021180248,"about_ca_topic_score_gemma":0.025283668,"teacher_disagreement_score":0.16043316,"about_ca_system_score_codex":0.005562732,"about_ca_system_score_gemma":0.005442668,"threshold_uncertainty_score":0.5367024},"labels":[],"label_agreement":null},{"id":"W4236551499","doi":"10.1016/s0969-4765(05)00260-2","title":"London Drugs prescribes fingerprint solution","year":2005,"lang":"en","type":"article","venue":"Biometric Technology Today","topic":"Trade Secret Protection Methods","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Password; Biometrics; Fingerprint (computing); Computer security; Business; Login; Sign (mathematics); Computer science; Internet privacy; Mathematics","score_opus":0.05066312926673382,"score_gpt":0.40599154065931875,"score_spread":0.3553284113925849,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236551499","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0053552417,0.011480797,0.0015155071,0.028358698,0.002168782,0.00034343728,0.0029896982,0.0032513614,0.9445365],"genre_scores_gemma":[0.021156365,0.004686663,0.0016023549,0.013290103,0.00032370293,0.00007948592,0.00090125157,0.00021854993,0.9577416],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99848336,0.000118465425,0.00009142974,0.00014321145,0.0009752152,0.00018832118],"domain_scores_gemma":[0.9962088,0.000639181,0.00025052947,0.0002454365,0.0014665476,0.0011895337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005380002,0.0004229941,0.000408726,0.00086838054,0.0017666707,0.0016746839,0.00057415594,0.0027747802,0.29874557],"category_scores_gemma":[0.0034601137,0.00034804622,0.00041083698,0.0005644003,0.000597028,0.0009818499,0.00068904366,0.0018015108,0.107597075],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013964514,0.00009559167,0.0012080491,0.00027985376,0.000007830465,0.0005470061,0.00015047632,0.000044102675,0.00206531,0.0029129426,0.8572707,0.13527848],"study_design_scores_gemma":[0.000035894864,0.000061988176,0.0010132228,0.00009460807,0.0000047462554,0.00038144493,0.000057125035,0.00003782214,0.0003307173,0.00010784928,0.9978655,0.000009136301],"about_ca_topic_score_codex":0.030083755,"about_ca_topic_score_gemma":0.11813101,"teacher_disagreement_score":0.29874557,"about_ca_system_score_codex":0.0016452513,"about_ca_system_score_gemma":0.0050660656,"threshold_uncertainty_score":0.9994035},"labels":[],"label_agreement":null},{"id":"W4238621193","doi":"10.1016/s0969-4765(07)70040-1","title":"RAIC card now operational in Canada","year":2007,"lang":"en","type":"article","venue":"Biometric Technology Today","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Biometrics; Report card; Work (physics); Identification (biology); Computer security; Business; Aeronautics; Transport engineering; Engineering; Computer science; Sociology","score_opus":0.00399172080637726,"score_gpt":0.17815796508877466,"score_spread":0.1741662442823974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238621193","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030911574,0.0039329412,0.008655049,0.0067044464,0.002441908,0.0007018461,0.013671598,0.005703474,0.92727715],"genre_scores_gemma":[0.14242786,0.0031080514,0.012886644,0.0020695154,0.0003448079,0.00014863106,0.014065828,0.00051725574,0.82443154],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99578744,0.00014669195,0.00012413779,0.000504827,0.0020565016,0.0013803932],"domain_scores_gemma":[0.9903943,0.00024352114,0.00022274964,0.0006019267,0.006913729,0.0016237785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024473928,0.0009208807,0.000553449,0.0025127397,0.0043227505,0.007517686,0.0026149114,0.0018160986,0.117691785],"category_scores_gemma":[0.0041615544,0.00048018026,0.00036218416,0.0026516353,0.0017261468,0.002354814,0.0018699149,0.0022582393,0.047185797],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058746885,0.00020329446,0.0071351407,0.00017265657,0.000016076787,0.00059401325,0.0005860163,0.0009835832,0.0052066594,0.073623754,0.64000946,0.27088198],"study_design_scores_gemma":[0.000038233553,0.00007281184,0.0054416033,0.000050053626,0.000008774691,0.00020861109,0.00032734548,0.00089230493,0.0012205549,0.0004976616,0.9911925,0.000049531904],"about_ca_topic_score_codex":0.85516834,"about_ca_topic_score_gemma":0.82578176,"teacher_disagreement_score":0.14483166,"about_ca_system_score_codex":0.018858489,"about_ca_system_score_gemma":0.046688195,"threshold_uncertainty_score":0.39371824},"labels":[],"label_agreement":null},{"id":"W4239509432","doi":"10.1016/s0969-4765(20)30090-4","title":"Could slime be the answer to fingerprint crime?","year":2020,"lang":"en","type":"article","venue":"Biometric Technology Today","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Biometrics; Fingerprint (computing); Computer security; Internet privacy; Computer science; Business","score_opus":0.02727901719629768,"score_gpt":0.24112302224820675,"score_spread":0.21384400505190906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239509432","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16160761,0.045765538,0.004623653,0.65318984,0.007249802,0.000097910546,0.000637544,0.00016296987,0.12666519],"genre_scores_gemma":[0.8264357,0.034452923,0.00352318,0.07249335,0.0022711423,0.000040616807,0.00020019176,0.000098475975,0.06048437],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99874544,0.00037109337,0.000043976128,0.00020990064,0.00029183453,0.00033780254],"domain_scores_gemma":[0.9966016,0.0011158548,0.0007924618,0.00023308337,0.00082194613,0.00043509176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018184364,0.0006894325,0.00044952106,0.0012853079,0.0035766878,0.0041739433,0.00095168204,0.006921344,0.023140332],"category_scores_gemma":[0.011920727,0.00026233034,0.000442354,0.0011936034,0.009509978,0.005669978,0.0017177133,0.0042867465,0.002760183],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015735808,0.00064994174,0.10674571,0.0019946636,0.00023289977,0.006934329,0.026538331,0.0005444333,0.005186687,0.2719092,0.20885,0.36884028],"study_design_scores_gemma":[0.00013796646,0.0010875566,0.06637312,0.003402423,0.00026876075,0.010204088,0.11876281,0.0006409309,0.007067814,0.11092751,0.6808798,0.00024724242],"about_ca_topic_score_codex":0.02525341,"about_ca_topic_score_gemma":0.043126196,"teacher_disagreement_score":0.02525341,"about_ca_system_score_codex":0.0022848535,"about_ca_system_score_gemma":0.0025082103,"threshold_uncertainty_score":0.07741213},"labels":[],"label_agreement":null},{"id":"W4240401730","doi":"10.1016/s0969-4765(07)70098-x","title":"ImageWare reports 2006 revenue growth; issues 2007 warning","year":2007,"lang":"en","type":"article","venue":"Biometric Technology Today","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Revenue; Engineering; Agricultural economics; Business; Finance; Economics; Geography; Archaeology","score_opus":0.010056252534084818,"score_gpt":0.27277303321565644,"score_spread":0.2627167806815716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240401730","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0060659475,0.0026916747,0.0016279976,0.11170501,0.0232566,0.0004395637,0.013317565,0.0074136746,0.8334819],"genre_scores_gemma":[0.0120262215,0.0013393656,0.0006404773,0.01589055,0.00328218,0.00011876804,0.008312048,0.0005855726,0.95780474],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99589795,0.00014762077,0.00013028432,0.00018790377,0.0032539535,0.00038226138],"domain_scores_gemma":[0.9923368,0.00083294435,0.00058784895,0.00037659678,0.0053156973,0.0005501225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022601772,0.00082160154,0.00041569167,0.002425528,0.0019507395,0.0067474786,0.0010613397,0.0042489446,0.18174231],"category_scores_gemma":[0.011131599,0.00042887084,0.00044644348,0.001544649,0.0004861648,0.002311688,0.0011752968,0.0041676946,0.1698528],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021741042,0.000014543125,0.00020465943,0.000011751666,7.910953e-7,0.000030224715,0.000010315207,0.000012443001,0.00008013211,0.0009579178,0.9887318,0.009923705],"study_design_scores_gemma":[0.000012308989,0.000023529463,0.0014366794,0.000040508694,0.0000019721297,0.000058316116,0.00004104515,0.00012642036,0.00028846043,0.00019146755,0.9977708,0.0000085405345],"about_ca_topic_score_codex":0.015490269,"about_ca_topic_score_gemma":0.017921304,"teacher_disagreement_score":0.18174231,"about_ca_system_score_codex":0.0026942703,"about_ca_system_score_gemma":0.003603644,"threshold_uncertainty_score":0.6079886},"labels":[],"label_agreement":null},{"id":"W4243219377","doi":"10.1016/s0969-4765(06)70530-6","title":"Poor showing by Saflink","year":2006,"lang":"en","type":"article","venue":"Biometric Technology Today","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Corporation; Biometrics; Government (linguistics); Business; Quarter (Canadian coin); Finance; Computer security; Computer science; Geography","score_opus":0.015141979540312796,"score_gpt":0.2763261383307539,"score_spread":0.2611841587904411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243219377","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002927889,0.0031489274,0.0015044126,0.3143567,0.02932819,0.00014889169,0.0020246913,0.0023013812,0.6442589],"genre_scores_gemma":[0.01027865,0.0010512961,0.00042453688,0.09112036,0.0022595373,0.000062089624,0.0008691369,0.0006431653,0.8932913],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9948054,0.0009397663,0.00027555818,0.00064165256,0.002594506,0.0007430605],"domain_scores_gemma":[0.982851,0.0032463786,0.0006155634,0.0014675199,0.009224884,0.0025946298],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0048221666,0.0006991929,0.0006719012,0.002089834,0.010183428,0.0099692345,0.0014276127,0.008498532,0.47996613],"category_scores_gemma":[0.029924707,0.0006956165,0.000652158,0.0014359246,0.0020055128,0.009394653,0.004332253,0.008704794,0.29854065],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016484006,0.000011115112,0.00017152634,0.000013514139,0.0000011963566,0.00004549792,0.00007201855,0.0000062565277,0.00004759259,0.002642116,0.9876946,0.009278022],"study_design_scores_gemma":[0.0000044425133,0.000010012313,0.0002523969,0.000035512447,0.0000016930104,0.00011614006,0.00019677397,0.000034830857,0.000081782564,0.00056222116,0.99869734,0.000006885925],"about_ca_topic_score_codex":0.014394791,"about_ca_topic_score_gemma":0.014798799,"teacher_disagreement_score":0.47996613,"about_ca_system_score_codex":0.0032821032,"about_ca_system_score_gemma":0.005513071,"threshold_uncertainty_score":0.74176514},"labels":[],"label_agreement":null},{"id":"W4243895820","doi":"10.1016/s0969-4765(07)70031-0","title":"Comnetix suitors line up","year":2007,"lang":"en","type":"article","venue":"Biometric Technology Today","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Battle; Business; Key (lock); Identity (music); Biometrics; Line (geometry); Advertising; Computer security; Computer science; History; Art; Mathematics; Aesthetics","score_opus":0.013629319123449873,"score_gpt":0.2902094492899508,"score_spread":0.2765801301665009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243895820","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036189118,0.0004836443,0.001911517,0.021903582,0.0067370483,0.0002968001,0.0012580943,0.0046759057,0.9591144],"genre_scores_gemma":[0.0054910523,0.00015507238,0.0004446605,0.004167176,0.0005176548,0.000024363559,0.00065895135,0.00039005198,0.9881511],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99671715,0.0001159498,0.0000611903,0.00024258606,0.0022739018,0.00058915117],"domain_scores_gemma":[0.99510586,0.0002762198,0.00011022686,0.00034774296,0.0028315487,0.0013283914],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016960503,0.00079411874,0.00037533857,0.001885671,0.004395889,0.0061575924,0.00094200094,0.0042092954,0.3547036],"category_scores_gemma":[0.0062783603,0.00044661842,0.00058098254,0.000958322,0.0008689629,0.002666744,0.0020422195,0.0030539597,0.21526],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061140156,0.000040043768,0.0006221009,0.00001993452,0.0000026316238,0.0002567901,0.00007865697,0.000030664232,0.0009903248,0.0051104445,0.96216625,0.030621033],"study_design_scores_gemma":[0.0000082204015,0.000015861868,0.0005095278,0.000010108779,0.000001895218,0.00008564368,0.00006016661,0.00012830953,0.00039166605,0.00021483049,0.99856806,0.0000058460837],"about_ca_topic_score_codex":0.07137151,"about_ca_topic_score_gemma":0.12573102,"teacher_disagreement_score":0.3547036,"about_ca_system_score_codex":0.004802785,"about_ca_system_score_gemma":0.005948641,"threshold_uncertainty_score":0.920437},"labels":[],"label_agreement":null},{"id":"W4244462308","doi":"10.1016/s0969-4765(03)09008-8","title":"Viisage/ZN drive merger forward","year":2003,"lang":"en","type":"article","venue":"Biometric Technology Today","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Commission; Proxy (statistics); Business; European commission; Biometrics; Finance; Computer security; Computer science; International trade; European union","score_opus":0.015411209903656974,"score_gpt":0.23612372709497745,"score_spread":0.22071251719132048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244462308","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011475111,0.0013120589,0.00092793663,0.042714246,0.0039555226,0.0001688877,0.0020299542,0.0008452579,0.936571],"genre_scores_gemma":[0.026538607,0.0008594903,0.0006035927,0.0069700265,0.0003562592,0.000038470505,0.0025694978,0.00019528515,0.9618688],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99486023,0.00009078558,0.00004975384,0.00022314442,0.0039451425,0.0008308646],"domain_scores_gemma":[0.99798656,0.00008527214,0.000045982364,0.00009085175,0.0010889412,0.00070233823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012757065,0.00037480224,0.00026876663,0.0011977906,0.004297886,0.009147666,0.00092105486,0.004648211,0.08697906],"category_scores_gemma":[0.004119572,0.00037103952,0.00035011218,0.00114453,0.00052670744,0.0017121262,0.003186713,0.003965346,0.04121367],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006618924,0.000038251612,0.0007510412,0.00002994591,0.000003038981,0.00033830781,0.00016647624,0.000056552813,0.000767113,0.03237453,0.94469297,0.0207157],"study_design_scores_gemma":[0.000013304716,0.000014965144,0.0011540855,0.00001185241,0.0000020354078,0.00005955105,0.00020394397,0.00008096849,0.00042118924,0.00053215394,0.99750096,0.0000050072817],"about_ca_topic_score_codex":0.14354992,"about_ca_topic_score_gemma":0.28172064,"teacher_disagreement_score":0.14354992,"about_ca_system_score_codex":0.009613415,"about_ca_system_score_gemma":0.018366182,"threshold_uncertainty_score":0.29097396},"labels":[],"label_agreement":null},{"id":"W4245683284","doi":"10.1016/s0969-4765(04)00056-6","title":"Musicrypt extends keystroke dynamics licence","year":2004,"lang":"en","type":"article","venue":"Biometric Technology Today","topic":"Law, AI, and Intellectual Property","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Keystroke dynamics; Biometrics; The Internet; Keystroke logging; Computer science; World Wide Web; Computer security; Human–computer interaction; Multimedia; Password","score_opus":0.01154517007008383,"score_gpt":0.22113696048451803,"score_spread":0.2095917904144342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245683284","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022342974,0.00059225096,0.040946867,0.013286677,0.0014383115,0.0008276122,0.0019466584,0.02070239,0.8979163],"genre_scores_gemma":[0.24182932,0.00070275756,0.0175969,0.0075919465,0.001350967,0.00093209563,0.003587028,0.0033976133,0.7230114],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98026776,0.0019762379,0.001388112,0.0009689765,0.012028114,0.0033707821],"domain_scores_gemma":[0.9575328,0.007979306,0.0013598663,0.010306146,0.020074317,0.0027475976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012135085,0.00072219124,0.0008223926,0.003127443,0.0059512467,0.0093822265,0.0024560203,0.006364511,0.082603596],"category_scores_gemma":[0.053376522,0.0007496418,0.00074480573,0.0019662413,0.0024129187,0.008287553,0.00782157,0.004606132,0.046931792],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00070256705,0.00036687954,0.0035901945,0.00018706251,0.000023122037,0.0013965926,0.0020534347,0.001351635,0.009941317,0.30152038,0.44784835,0.23101847],"study_design_scores_gemma":[0.000097801625,0.0001391978,0.0018871543,0.0000921086,0.000012260153,0.0007491963,0.00026136407,0.004318279,0.004246077,0.010430219,0.9776658,0.00010049266],"about_ca_topic_score_codex":0.040569693,"about_ca_topic_score_gemma":0.029462682,"teacher_disagreement_score":0.082603596,"about_ca_system_score_codex":0.007782591,"about_ca_system_score_gemma":0.013622579,"threshold_uncertainty_score":0.2763366},"labels":[],"label_agreement":null},{"id":"W4247107964","doi":"10.1016/s0969-4765(11)70117-5","title":"Canadian police get real-time fingerprint and palm ID system","year":2011,"lang":"en","type":"article","venue":"Biometric Technology Today","topic":"Biometric Identification and Security","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Biometrics; Fingerprint (computing); Law enforcement; Identification (biology); Computer security; Service (business); Computer science; Business; Law; Political science","score_opus":0.015394505266241382,"score_gpt":0.21378326420223887,"score_spread":0.19838875893599747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247107964","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.314353,0.0041233967,0.10032957,0.0043627676,0.0016889577,0.0015085218,0.037635587,0.06781065,0.46818754],"genre_scores_gemma":[0.74125385,0.002272271,0.042174537,0.0007960456,0.00013936202,0.00023256295,0.0140440725,0.00046725612,0.19862005],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99938667,0.00001394154,0.000011462628,0.00004957665,0.00043395205,0.000104509505],"domain_scores_gemma":[0.9994087,0.000015396055,0.000013992262,0.000029420493,0.00047780687,0.00005467232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025858686,0.00043072604,0.00043671078,0.0014282295,0.0012755686,0.0008708004,0.0006053065,0.0003989702,0.014179603],"category_scores_gemma":[0.0007322022,0.00018698926,0.00019259461,0.0010547373,0.00016731354,0.00047448892,0.0006596322,0.0004462088,0.0057424116],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010244787,0.00017764127,0.021718925,0.00039620668,0.00004753752,0.0012381537,0.00064099993,0.003610737,0.077546164,0.0037462814,0.3460282,0.5438248],"study_design_scores_gemma":[0.00024591296,0.0003271679,0.1267478,0.00019669688,0.00017220923,0.0021755663,0.0014231481,0.10969299,0.11500814,0.0013408164,0.6422373,0.000432271],"about_ca_topic_score_codex":0.56163514,"about_ca_topic_score_gemma":0.6301704,"teacher_disagreement_score":0.43836486,"about_ca_system_score_codex":0.0023940108,"about_ca_system_score_gemma":0.00424467,"threshold_uncertainty_score":0.881893},"labels":[],"label_agreement":null},{"id":"W4247295545","doi":"10.1016/s0969-4765(08)70141-3","title":"L-1 revenue soars","year":2008,"lang":"en","type":"article","venue":"Biometric Technology Today","topic":"Business Strategy and Innovation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Revenue; Business; Agricultural economics; Commerce; Finance; Economics; Geography; Archaeology","score_opus":0.027592953033659662,"score_gpt":0.22168724111818797,"score_spread":0.1940942880845283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247295545","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005827254,0.00073781225,0.0012522858,0.012102814,0.0035030525,0.00023636024,0.004860875,0.0048702066,0.96660936],"genre_scores_gemma":[0.03831962,0.00079818064,0.0010339287,0.0050689257,0.0017000413,0.00010452163,0.0060474137,0.00080321124,0.94612414],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962536,0.00021457124,0.000090034046,0.00028360056,0.0025390452,0.000619189],"domain_scores_gemma":[0.9945761,0.00040943257,0.0002535363,0.0005496167,0.0032332153,0.0009780967],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020592834,0.0007205527,0.00042135973,0.0034115743,0.0023049847,0.008840901,0.0015145844,0.0020846634,0.30291694],"category_scores_gemma":[0.010024429,0.0004083307,0.00069711235,0.001402041,0.0005514333,0.0032738382,0.0032122156,0.0033767086,0.2284702],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000087447435,0.00007255215,0.0008096024,0.000049949656,0.0000039340184,0.00017321233,0.00006627624,0.00007643816,0.00056164135,0.015764682,0.9174139,0.06492031],"study_design_scores_gemma":[0.000018241111,0.000039702325,0.0010608587,0.00003996486,0.000002604796,0.00013188271,0.00007687693,0.00023386706,0.00046884434,0.0008160649,0.9970976,0.000013462753],"about_ca_topic_score_codex":0.007906274,"about_ca_topic_score_gemma":0.008184917,"teacher_disagreement_score":0.30291694,"about_ca_system_score_codex":0.003922622,"about_ca_system_score_gemma":0.004609233,"threshold_uncertainty_score":0.99430436},"labels":[],"label_agreement":null},{"id":"W4247357069","doi":"10.1016/s0969-4765(18)30026-2","title":"Canada tests biometrics and blockchain as airports worldwide extend biometric use","year":2018,"lang":"en","type":"article","venue":"Biometric Technology Today","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Biometrics; Blockchain; Computer security; Government (linguistics); Internet privacy; Business; Biometric data; Computer science","score_opus":0.02468192511807085,"score_gpt":0.22876747839278755,"score_spread":0.2040855532747167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247357069","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49098217,0.002444091,0.0059854947,0.033413682,0.0009157872,0.000462738,0.019882776,0.0014612065,0.44445208],"genre_scores_gemma":[0.89015293,0.0011001311,0.005013529,0.0029897164,0.00008316735,0.000078583726,0.009967399,0.00016592698,0.09044859],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9871301,0.0007999127,0.00021068112,0.0006015677,0.0087104235,0.002547362],"domain_scores_gemma":[0.9609013,0.0030319141,0.001033066,0.0019043197,0.029416883,0.0037123973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051532877,0.00047905423,0.00036771415,0.0027044641,0.00429388,0.0043786997,0.0014078725,0.0012603014,0.011178991],"category_scores_gemma":[0.013849125,0.00032342723,0.00035663543,0.0056366627,0.002055743,0.0028056619,0.0018583013,0.0016261255,0.0017200828],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015375621,0.00077379163,0.15210761,0.00018011213,0.000117234835,0.0006951355,0.0034734826,0.0074845417,0.005323733,0.15441692,0.45260566,0.2212842],"study_design_scores_gemma":[0.00033927782,0.0008478529,0.14899634,0.00021099212,0.00010896217,0.00023001389,0.008298596,0.017775442,0.011522043,0.008757319,0.8025707,0.00034250895],"about_ca_topic_score_codex":0.97776014,"about_ca_topic_score_gemma":0.98140186,"teacher_disagreement_score":0.041259497,"about_ca_system_score_codex":0.041259497,"about_ca_system_score_gemma":0.06272795,"threshold_uncertainty_score":0.29936004},"labels":[],"label_agreement":null},{"id":"W4250645333","doi":"10.1016/s0969-4765(18)30115-2","title":"RealNetworks offers facial recognition to secure schools from shooters","year":2018,"lang":"en","type":"article","venue":"Biometric Technology Today","topic":"Information and Cyber Security","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Biometrics; Facial recognition system; Computer security; Internet privacy; Computer science; Artificial intelligence; Pattern recognition (psychology)","score_opus":0.015278608957054723,"score_gpt":0.24405777413192323,"score_spread":0.22877916517486852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250645333","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09080588,0.0028113236,0.19710371,0.005541035,0.0024132396,0.0011561561,0.009720465,0.16038558,0.5300627],"genre_scores_gemma":[0.4344291,0.0018593142,0.11658857,0.0022621886,0.0006670094,0.0004730409,0.01220296,0.0059666215,0.42555118],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99917966,0.00008953854,0.000021304537,0.00010921657,0.00046875663,0.00013159668],"domain_scores_gemma":[0.9989573,0.00018739558,0.000063526764,0.00022712156,0.00036377972,0.00020096196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013045873,0.0007234056,0.00040862933,0.0010618819,0.00065544544,0.0011187387,0.0008365653,0.0008264872,0.066277474],"category_scores_gemma":[0.0021783258,0.00039922755,0.00041387792,0.00037288948,0.0005005083,0.0019766272,0.0017140337,0.0008491845,0.03208382],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014806198,0.00048532357,0.0041045886,0.00021435115,0.000060663508,0.000354305,0.0006145101,0.0011482784,0.034569073,0.0074365055,0.49016464,0.4593671],"study_design_scores_gemma":[0.00047568622,0.0010291082,0.015105006,0.00017744405,0.0001221188,0.0023286808,0.00061493064,0.06521163,0.068172395,0.008179773,0.8383416,0.00024155989],"about_ca_topic_score_codex":0.008777167,"about_ca_topic_score_gemma":0.020090315,"teacher_disagreement_score":0.066277474,"about_ca_system_score_codex":0.0007845235,"about_ca_system_score_gemma":0.0009001199,"threshold_uncertainty_score":0.22172022},"labels":[],"label_agreement":null},{"id":"W4251251103","doi":"10.1016/s0969-4765(06)70470-2","title":"Identix posts encouraging second quarter results","year":2006,"lang":"en","type":"article","venue":"Biometric Technology Today","topic":"Financial Reporting and XBRL","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Revenue; Fiscal year; Business; Economics; Finance; Geography","score_opus":0.006952744503401027,"score_gpt":0.20932636138456778,"score_spread":0.20237361688116676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251251103","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09748447,0.0046053044,0.0030607092,0.0757559,0.014243016,0.00074157264,0.024141759,0.006473462,0.77349377],"genre_scores_gemma":[0.18884882,0.0018555629,0.002655812,0.016542962,0.0024585566,0.0002866177,0.021789698,0.0013343238,0.7642276],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9900478,0.0007181142,0.00031902306,0.00041017748,0.006772897,0.001732047],"domain_scores_gemma":[0.97562206,0.0023351181,0.0017235224,0.0017861055,0.015585955,0.0029473442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012005371,0.00087279244,0.0005848366,0.0032491633,0.0029444795,0.009180343,0.0009567687,0.0020357652,0.081068575],"category_scores_gemma":[0.020713355,0.00035761422,0.0007506634,0.0018893237,0.0006615329,0.002038624,0.002397821,0.0022909476,0.044099968],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005079583,0.00041522348,0.009216582,0.00015209884,0.000023402585,0.00021018925,0.00036097973,0.00015827094,0.0020832068,0.0037266712,0.9189902,0.06415516],"study_design_scores_gemma":[0.00008513126,0.00057251775,0.063210346,0.00012297882,0.000021856742,0.00021989137,0.0008109496,0.0005414103,0.007123886,0.0006762636,0.9265701,0.000044651617],"about_ca_topic_score_codex":0.016575338,"about_ca_topic_score_gemma":0.02569964,"teacher_disagreement_score":0.081068575,"about_ca_system_score_codex":0.003886931,"about_ca_system_score_gemma":0.004357543,"threshold_uncertainty_score":0.27120143},"labels":[],"label_agreement":null},{"id":"W4252710879","doi":"10.1016/s0969-4765(09)70199-7","title":"USA joins biometric data sharing initiative","year":2009,"lang":"en","type":"article","venue":"Biometric Technology Today","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Biometrics; Homeland security; Joins; Join (topology); Political science; Computer security; Business; Computer science; Law","score_opus":0.12273994378553839,"score_gpt":0.3667998879556539,"score_spread":0.2440599441701155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252710879","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021563282,0.0024845295,0.005819002,0.13479784,0.014943323,0.0007441691,0.016494855,0.0046719466,0.798481],"genre_scores_gemma":[0.07122697,0.0024656563,0.016252456,0.08831525,0.0040138634,0.0007291268,0.031827014,0.0008117573,0.7843579],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962997,0.00027586264,0.00009580661,0.00045303185,0.0022204716,0.0006550697],"domain_scores_gemma":[0.9953021,0.00036058962,0.00017312115,0.00036428892,0.0018858848,0.0019140237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00404304,0.00059146166,0.00050096196,0.0009773662,0.0034230226,0.004071114,0.0009764689,0.003668727,0.05383648],"category_scores_gemma":[0.0029872395,0.00025835744,0.00052043196,0.0010932034,0.00045407863,0.0028046425,0.0026820735,0.0038019903,0.029297119],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012338182,0.00023709549,0.0023670688,0.00002356113,0.000009158387,0.00020032765,0.00008694284,0.000019952678,0.0009520111,0.004345416,0.9471442,0.04449081],"study_design_scores_gemma":[0.000024776635,0.00005549219,0.0030952932,0.000012743596,0.0000068911627,0.00010674418,0.00012239693,0.000107662265,0.00044048356,0.00048521583,0.99553204,0.000010314343],"about_ca_topic_score_codex":0.013504806,"about_ca_topic_score_gemma":0.024299098,"teacher_disagreement_score":0.05383648,"about_ca_system_score_codex":0.0015699839,"about_ca_system_score_gemma":0.0068224524,"threshold_uncertainty_score":0.18010098},"labels":[],"label_agreement":null},{"id":"W4252972785","doi":"10.1016/s0969-4765(16)30197-7","title":"Mastercard to roll out bi-modal Identity Check Mobile in 2017","year":2016,"lang":"en","type":"article","venue":"Biometric Technology Today","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Biometrics; Identity (music); Modal; Payment; Mobile payment; Computer security; Business; Fingerprint (computing); Internet privacy; Computer science; Advertising; World Wide Web; Art","score_opus":0.028480301909487728,"score_gpt":0.2811285382572044,"score_spread":0.25264823634771666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252972785","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02712963,0.0013432611,0.0126932105,0.040747304,0.028197745,0.0026375933,0.007627371,0.0148206465,0.8648032],"genre_scores_gemma":[0.035403643,0.00039725928,0.0058918847,0.0077746003,0.0015010736,0.00030908856,0.0045779,0.0005853445,0.9435593],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979242,0.00013795459,0.00007124662,0.00016083612,0.0011501907,0.00055542594],"domain_scores_gemma":[0.9966342,0.00020313772,0.00010075553,0.00022983883,0.0016508965,0.0011812797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025641383,0.00061903195,0.00036529265,0.0010918851,0.002133049,0.0033200618,0.00074240565,0.00274178,0.1588059],"category_scores_gemma":[0.004864515,0.00038680018,0.00043317664,0.00030102677,0.0004552026,0.0020738838,0.0020655035,0.002527703,0.11828434],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019958436,0.00025586406,0.0015199754,0.000032498363,0.0000053741915,0.00022435443,0.0001141448,0.000044929293,0.002139363,0.0072187535,0.92054874,0.06769646],"study_design_scores_gemma":[0.00007058435,0.00020712447,0.0030508062,0.000033411077,0.000003969849,0.000121032936,0.0001491742,0.00037827864,0.0014858753,0.0006581978,0.9938227,0.000018840481],"about_ca_topic_score_codex":0.0062489416,"about_ca_topic_score_gemma":0.010987269,"teacher_disagreement_score":0.1588059,"about_ca_system_score_codex":0.0011300785,"about_ca_system_score_gemma":0.0030790602,"threshold_uncertainty_score":0.5312587},"labels":[],"label_agreement":null},{"id":"W4253029584","doi":"10.1016/s0969-4765(04)00087-6","title":"Canadian airports issue biometric ID cards","year":2004,"lang":"en","type":"article","venue":"Biometric Technology Today","topic":"Conflict of Laws and Jurisdiction","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Biometrics; Smart card; Computer security; Identification (biology); Airport security; Business; Engineering; Internet privacy; Telecommunications; Computer science","score_opus":0.010827390170647566,"score_gpt":0.2818114486733163,"score_spread":0.27098405850266877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253029584","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020999819,0.0016120217,0.004630156,0.011662239,0.004852709,0.0008381839,0.021675663,0.0031941023,0.9305352],"genre_scores_gemma":[0.11788233,0.0018526372,0.008359115,0.004636781,0.0006128378,0.00022244167,0.017434873,0.00044263064,0.8485564],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9928417,0.00023391766,0.00019178666,0.00032780916,0.005069667,0.0013351196],"domain_scores_gemma":[0.98813814,0.00066974194,0.00033325588,0.00061775267,0.009120707,0.0011204472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002364129,0.00075687806,0.0004639352,0.003664769,0.00822904,0.006227197,0.0014841959,0.002797186,0.07588539],"category_scores_gemma":[0.008544957,0.00055140676,0.00060382875,0.003958091,0.0008242045,0.0013262207,0.0020220494,0.0020027966,0.02485868],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000669001,0.00003899919,0.0050612534,0.000086768494,0.00001153663,0.00027225734,0.00044274327,0.00016190915,0.0014613224,0.0152095,0.92356235,0.053624548],"study_design_scores_gemma":[0.00001268911,0.0000118561,0.00720013,0.000036477657,0.000010089961,0.00006177974,0.00044273277,0.00026483161,0.0007905567,0.0004049484,0.9907302,0.000033603832],"about_ca_topic_score_codex":0.89101255,"about_ca_topic_score_gemma":0.9094109,"teacher_disagreement_score":0.10898745,"about_ca_system_score_codex":0.023045298,"about_ca_system_score_gemma":0.029252805,"threshold_uncertainty_score":0.2538619},"labels":[],"label_agreement":null},{"id":"W4254700943","doi":"10.1016/s0969-4765(08)70015-8","title":"Historic results for Bioscrypt","year":2008,"lang":"en","type":"article","venue":"Biometric Technology Today","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Revenue; Biometrics; Business; Finance; Engineering; Computer science; Computer security; History; Archaeology","score_opus":0.026982018855291227,"score_gpt":0.2805117992813215,"score_spread":0.2535297804260303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254700943","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0046943547,0.04505344,0.028182669,0.11127318,0.049499776,0.0005693247,0.011548623,0.0076428587,0.7415358],"genre_scores_gemma":[0.12566034,0.04293209,0.02463531,0.03008822,0.026030704,0.0006649065,0.022013746,0.0037537923,0.7242208],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9905854,0.0015601439,0.0005691657,0.0008106218,0.005175625,0.0012989982],"domain_scores_gemma":[0.9843582,0.0025878705,0.00055376923,0.0024039126,0.0080005275,0.0020957072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0095536085,0.001436826,0.0007490791,0.0039024074,0.002813853,0.010198213,0.0013878015,0.0027725154,0.13150446],"category_scores_gemma":[0.029758723,0.0006476602,0.00066239655,0.0042829644,0.0021175514,0.013045295,0.0035424985,0.0077378326,0.0988757],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022444183,0.000048602087,0.00030860282,0.0001450239,0.000011775219,0.00006908751,0.000037387108,0.00032122745,0.00043656884,0.050721638,0.8497424,0.097933106],"study_design_scores_gemma":[0.000025729314,0.000097479875,0.00036220258,0.00015301787,0.000009268402,0.00018495979,0.000036948764,0.0006996071,0.0016975269,0.0069906055,0.9897194,0.000023306897],"about_ca_topic_score_codex":0.0051502767,"about_ca_topic_score_gemma":0.0039000893,"teacher_disagreement_score":0.13150446,"about_ca_system_score_codex":0.004804777,"about_ca_system_score_gemma":0.00332878,"threshold_uncertainty_score":0.43992627},"labels":[],"label_agreement":null},{"id":"W4255331738","doi":"10.1016/s0969-4765(20)30126-0","title":"Canadian firm covertly captured 5m shoppers' images","year":2020,"lang":"en","type":"article","venue":"Biometric Technology Today","topic":"Legal and Policy Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Government (linguistics); Business; Biometrics; Estate; Internet privacy; Advertising; Face (sociological concept); Computer security; Finance; Computer science; Sociology","score_opus":0.024919140511672686,"score_gpt":0.296966933127986,"score_spread":0.2720477926163133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255331738","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22625399,0.0015106363,0.0096975155,0.01076699,0.00094272115,0.0008568141,0.018796332,0.0021630088,0.729012],"genre_scores_gemma":[0.46649078,0.0010696239,0.019271508,0.0034678725,0.00010763832,0.00020265863,0.007382868,0.000293282,0.5017137],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99825853,0.000059049602,0.000026226751,0.00018565061,0.0012209677,0.00024959256],"domain_scores_gemma":[0.99641114,0.0002376795,0.000116302304,0.00029911878,0.002688467,0.00024733195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009791328,0.0004251285,0.00034877146,0.001998729,0.0057122624,0.0023701515,0.0007845807,0.0008504283,0.053610645],"category_scores_gemma":[0.0029073555,0.00036391502,0.0003050853,0.0024751895,0.0009960576,0.00085779856,0.0012007419,0.0007539554,0.009378262],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046749835,0.0001914737,0.033021208,0.00030848768,0.000036052264,0.00088553515,0.004466081,0.00024820422,0.01607002,0.014600143,0.5313141,0.39839128],"study_design_scores_gemma":[0.00002465145,0.00008548861,0.08335871,0.0001745212,0.000030024383,0.00056484557,0.0048384927,0.0018367012,0.010225224,0.00065763376,0.89811337,0.00009020945],"about_ca_topic_score_codex":0.8743348,"about_ca_topic_score_gemma":0.96872276,"teacher_disagreement_score":0.12566519,"about_ca_system_score_codex":0.010511415,"about_ca_system_score_gemma":0.017162917,"threshold_uncertainty_score":0.25281048},"labels":[],"label_agreement":null}]}