{"meta":{"query_hash":"de0ef64ddbef","filters":{"venue":"International Journal of Business Innovation and Research"},"cohort_total":8,"direct_labels_cover":0,"predictions_cover":8,"exported":8,"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/de0ef64ddbef","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Business+Innovation+and+Research"},"results":[{"id":"W2070009827","doi":"10.1504/ijbir.2009.022754","title":"Design and manufacturing software selection in the wood industry using analytic hierarchy process","year":2009,"lang":"en","type":"article","venue":"International Journal of Business Innovation and Research","topic":"Quality Function Deployment in Product Design","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Analytic hierarchy process; Selection (genetic algorithm); Software; Computer science; Multiple-criteria decision analysis; Process (computing); Decision analysis; Hierarchy; Manufacturing engineering; Operations research; Engineering; Artificial intelligence; Mathematics; Economics; Statistics","score_opus":0.13326131565937518,"score_gpt":0.38339634194127553,"score_spread":0.2501350262819003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070009827","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":[0.5977142,0.0007401027,0.3841346,0.0005970148,0.000022935996,0.001462341,0.00008583491,0.00025614453,0.014986801],"genre_scores_gemma":[0.73997563,0.00023433514,0.25854042,0.000038195798,0.0000073864253,0.00019728839,0.00005928001,0.000021889513,0.000925595],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.97927207,0.0128624635,0.0005837178,0.0005846875,0.005709908,0.0009872174],"domain_scores_gemma":[0.98693407,0.009658579,0.0009763819,0.0005313801,0.0015301954,0.0003693863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01329093,0.0009087053,0.0008866067,0.004190072,0.0025494208,0.0027852207,0.0009946503,0.00090743677,0.0018641521],"category_scores_gemma":[0.015129521,0.000512506,0.00083438115,0.0032746708,0.0014488236,0.0013950493,0.0013027007,0.00068983407,0.00024501904],"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":[0.0010037814,0.0010171651,0.024402374,0.0010970664,0.00030580707,0.002292898,0.009458044,0.360074,0.024599211,0.041557867,0.0018473957,0.5323444],"study_design_scores_gemma":[0.00039849203,0.001954395,0.01603635,0.00034223407,0.00024812226,0.0006009122,0.0067924685,0.89542717,0.016216973,0.048138637,0.013634433,0.00020971266],"about_ca_topic_score_codex":0.01475821,"about_ca_topic_score_gemma":0.020218298,"teacher_disagreement_score":0.01475821,"about_ca_system_score_codex":0.00412617,"about_ca_system_score_gemma":0.0052489154,"threshold_uncertainty_score":0.07028997},"labels":[],"label_agreement":null},{"id":"W2081851127","doi":"10.1504/ijbir.2008.016651","title":"An alternative heuristic solution technique for efficient management of the serial supply chain","year":2008,"lang":"en","type":"article","venue":"International Journal of Business Innovation and Research","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Heuristic; Sequence (biology); Supply chain; Supply chain management; Computer science; Mathematical optimization; Presentation (obstetrics); Chain (unit); Algorithm; Operations management; Operations research; Mathematics; Economics; Artificial intelligence; Business","score_opus":0.07314256590440178,"score_gpt":0.34460799364041755,"score_spread":0.2714654277360158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081851127","genre_codex":"methods","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":[0.0065494464,0.00013925557,0.99039197,0.00008993812,0.000044671797,0.00006922561,0.000020359024,0.0001412974,0.0025539277],"genre_scores_gemma":[0.13274951,0.00028828977,0.86372954,0.00009646226,0.000050363593,0.00021745404,0.00006756801,0.00006514103,0.0027356423],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950457,0.0001867548,0.000024074803,0.000063804684,0.00016270754,0.00005800553],"domain_scores_gemma":[0.99954456,0.0002119576,0.000055820732,0.00007744163,0.00009194571,0.000018268009],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009197968,0.00086502475,0.00084336847,0.00130315,0.0006521188,0.00076553045,0.0012277126,0.0014463622,0.0043727974],"category_scores_gemma":[0.0023023502,0.0005503167,0.0010834478,0.0016521518,0.0006840709,0.0009983088,0.000804961,0.0012582133,0.0005390183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006956103,0.000120757555,0.0003302736,0.00027799347,0.00007907928,0.00015616925,0.00021668083,0.8010169,0.006993649,0.041919675,0.002373606,0.14644554],"study_design_scores_gemma":[0.000041840267,0.00013822275,0.00011430036,0.00003194163,0.000028276514,0.00011230541,0.000044397344,0.9753479,0.0018046645,0.016484592,0.0058328994,0.000018635174],"about_ca_topic_score_codex":0.003995795,"about_ca_topic_score_gemma":0.004820101,"teacher_disagreement_score":0.0043727974,"about_ca_system_score_codex":0.00053551915,"about_ca_system_score_gemma":0.0015448454,"threshold_uncertainty_score":0.01462847},"labels":[],"label_agreement":null},{"id":"W2147918405","doi":"10.1504/ijbir.2013.052578","title":"Corporate social responsibility in Latin America's petroleum industry: a national oil company's strategy for sustainable development","year":2013,"lang":"en","type":"article","venue":"International Journal of Business Innovation and Research","topic":"Mining and Resource Management","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Petroleum industry; Latin Americans; Sustainable development; Corporate social responsibility; Petroleum; Business; Political science; Public relations; Engineering","score_opus":0.10586476314496963,"score_gpt":0.35246496640658687,"score_spread":0.24660020326161725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147918405","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":[0.19037417,0.04288601,0.003504497,0.5216589,0.0009736343,0.00011966744,0.00006595781,0.00006788612,0.24034925],"genre_scores_gemma":[0.9252694,0.015534442,0.0024575016,0.014013925,0.00016853225,0.00005669126,0.000060498216,0.00002716201,0.04241179],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9993697,0.00028905392,0.000016763086,0.00003767862,0.000117317344,0.00016944023],"domain_scores_gemma":[0.99919015,0.00023294869,0.00010153547,0.000035376066,0.0002302947,0.00020978514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002290149,0.00028459093,0.000114909264,0.00056885753,0.0039872834,0.005095458,0.0005266623,0.0025616225,0.0017771239],"category_scores_gemma":[0.00199076,0.00007948344,0.0002274236,0.00071701605,0.004070248,0.0025110524,0.0039129443,0.0019765764,0.00014936965],"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":[0.00011626421,0.00023092776,0.016988134,0.00071023416,0.00003929045,0.0024573181,0.069105305,0.0014190569,0.00272136,0.5703947,0.069009006,0.26680842],"study_design_scores_gemma":[0.000017804996,0.000050398077,0.017307201,0.00071338774,0.000022323631,0.00040101324,0.07041261,0.00063483673,0.00084441475,0.03829339,0.8712669,0.00003573916],"about_ca_topic_score_codex":0.060865764,"about_ca_topic_score_gemma":0.08636753,"teacher_disagreement_score":0.060865764,"about_ca_system_score_codex":0.00882651,"about_ca_system_score_gemma":0.020396503,"threshold_uncertainty_score":0.12102294},"labels":[],"label_agreement":null},{"id":"W2465452122","doi":"10.1504/ijbir.2016.077609","title":"Environmental decision-making under uncertainty using a biologically-inspired simulation-optimisation algorithm for generating alternative perspectives","year":2016,"lang":"en","type":"article","venue":"International Journal of Business Innovation and Research","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Set (abstract data type); Mathematical optimization; Algorithm; Mathematics","score_opus":0.0554558381510364,"score_gpt":0.38553965774098503,"score_spread":0.33008381958994865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2465452122","genre_codex":"methods","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":[0.036865834,0.00010828833,0.95786226,0.00029947367,0.000018775816,0.00008263053,0.000035380755,0.00009396615,0.004633282],"genre_scores_gemma":[0.4501782,0.00013645411,0.5477864,0.00008958468,0.000020720836,0.00039307424,0.0000812411,0.000038206035,0.0012760797],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995117,0.00028569612,0.000016236712,0.000047662998,0.00010745736,0.00003124141],"domain_scores_gemma":[0.9987649,0.0010204469,0.00008183319,0.000038484734,0.000061037485,0.00003331612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013843555,0.0006703275,0.0006300699,0.00087846967,0.0005948225,0.00091658795,0.0009134867,0.0011852804,0.001667707],"category_scores_gemma":[0.0031790999,0.00044558826,0.0010914374,0.00068859133,0.0010795189,0.00077021203,0.001142597,0.0010417069,0.00013570713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011922945,0.000009976749,0.00018316701,0.00001007628,0.000010778286,0.000017166618,0.000022606946,0.986075,0.00036551952,0.009489503,0.000048588514,0.0037557024],"study_design_scores_gemma":[0.000006034231,0.000007788853,0.000020408168,0.0000037982327,0.0000028621935,0.000005635851,0.0000062783784,0.9952454,0.00013879433,0.004365717,0.00019509773,0.0000022544618],"about_ca_topic_score_codex":0.0026404571,"about_ca_topic_score_gemma":0.0033577448,"teacher_disagreement_score":0.0026404571,"about_ca_system_score_codex":0.0012056666,"about_ca_system_score_gemma":0.0012828154,"threshold_uncertainty_score":0.0087477565},"labels":[],"label_agreement":null},{"id":"W2990651180","doi":"10.1504/ijbir.2020.10025595","title":"Innovation Orientation and Performance in the Not-for-profit Sector","year":2019,"lang":"en","type":"article","venue":"International Journal of Business Innovation and Research","topic":"Nonprofit Sector and Volunteering","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Business; Beneficiary; Not for profit; Optimism; Competitive advantage; Marketing; Reputation; Industrial organization; Knowledge management; Psychology; Computer science","score_opus":0.11334321257698525,"score_gpt":0.4310538103013434,"score_spread":0.3177105977243581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990651180","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":[0.9955923,0.00003610327,0.00003744442,0.00016447475,0.0000034050233,0.000007124556,0.00003006045,0.0000014892237,0.004127486],"genre_scores_gemma":[0.999527,0.0000360778,0.000029420777,0.000015132968,0.0000024509961,0.000001693391,0.00002631862,0.0000010548421,0.00036080158],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985,0.00021556532,0.000060439175,0.00006493546,0.00061018416,0.00054884504],"domain_scores_gemma":[0.9904081,0.0013092931,0.0025106166,0.00024617597,0.0014858351,0.004039862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022705907,0.00011993159,0.0001357466,0.0011579021,0.0011421617,0.0021530257,0.00027684437,0.00029724036,0.0020094058],"category_scores_gemma":[0.0068027936,0.000055962628,0.00018738264,0.0012664873,0.0015158318,0.00058794854,0.0011970133,0.00063069834,0.00021620798],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004205457,0.00017742146,0.9810656,0.000023609493,0.000011275264,0.000067859524,0.003564538,0.00009780722,0.0003878034,0.00090104237,0.00039520764,0.013265804],"study_design_scores_gemma":[0.0000017620963,0.000055043834,0.9918263,0.00001647931,0.0000039081406,0.00002782705,0.006718735,0.00012441188,0.00006929486,0.00018367605,0.00096596143,0.0000066469433],"about_ca_topic_score_codex":0.12087426,"about_ca_topic_score_gemma":0.20792834,"teacher_disagreement_score":0.12087426,"about_ca_system_score_codex":0.003425109,"about_ca_system_score_gemma":0.005723076,"threshold_uncertainty_score":0.24034137},"labels":[],"label_agreement":null},{"id":"W4244109226","doi":"10.1504/ijbir.2020.111769","title":"Innovation orientation and performance in the not-for-profit sector","year":2020,"lang":"en","type":"article","venue":"International Journal of Business Innovation and Research","topic":"Nonprofit Sector and Volunteering","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Business; Not for profit; Beneficiary; Optimism; Competitive advantage; Marketing; Reputation; Industrial organization; Market orientation; Knowledge management; Psychology; Computer science","score_opus":0.18563661279009075,"score_gpt":0.4399310599892851,"score_spread":0.25429444719919436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244109226","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":[0.9953935,0.00003667194,0.000038627164,0.00017134481,0.000003480588,0.0000072358444,0.000030337347,0.0000015253144,0.0043173577],"genre_scores_gemma":[0.99952555,0.00003632525,0.000029900235,0.000015554717,0.0000024773524,0.0000017196751,0.000026259337,0.000001064319,0.0003611751],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99849,0.00021883733,0.000060701626,0.00006575314,0.00061172614,0.00055306405],"domain_scores_gemma":[0.9901751,0.0013527287,0.0025730021,0.00025055953,0.0015011968,0.00414746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023037384,0.00011993799,0.00013482991,0.001159291,0.0011497856,0.0021657075,0.00027681823,0.0002989025,0.0020229802],"category_scores_gemma":[0.00690964,0.0000555982,0.00018668249,0.0012679114,0.0015268124,0.00059662614,0.0011988898,0.000636016,0.00021652548],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041750733,0.00017937332,0.98066026,0.000024176516,0.000011318691,0.00006868515,0.0036683052,0.0001006963,0.00039127056,0.0009516121,0.00040588775,0.013496672],"study_design_scores_gemma":[0.0000017786588,0.000055538425,0.99157554,0.000017122014,0.0000039406327,0.00002807674,0.006919896,0.00012721229,0.00007025162,0.00019169522,0.0010023151,0.000006760818],"about_ca_topic_score_codex":0.119573705,"about_ca_topic_score_gemma":0.20558992,"teacher_disagreement_score":0.119573705,"about_ca_system_score_codex":0.003437831,"about_ca_system_score_gemma":0.0057853837,"threshold_uncertainty_score":0.23775542},"labels":[],"label_agreement":null},{"id":"W4285271015","doi":"10.1504/ijbir.2022.10048367","title":"Portfolio Optimization between Global Equity Markets","year":2022,"lang":"en","type":"article","venue":"International Journal of Business Innovation and Research","topic":"Financial Markets and Investment Strategies","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":"Equity (law); Financial economics; Portfolio optimization; Portfolio; Business; Economics; Political science","score_opus":0.13235604740251267,"score_gpt":0.36891587465427333,"score_spread":0.23655982725176067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285271015","genre_codex":"methods","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":[0.18638982,0.0040647765,0.75235826,0.0021623943,0.00019176955,0.00023586908,0.0003525944,0.000213965,0.054030575],"genre_scores_gemma":[0.9356681,0.0015380437,0.04476575,0.000293557,0.00011753983,0.00019931849,0.0003135343,0.000059612317,0.01704456],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905294,0.00047716533,0.00003734487,0.00018097031,0.00013673883,0.000114793474],"domain_scores_gemma":[0.9986759,0.0008804314,0.00015722556,0.00005455835,0.000118360316,0.00011350319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023889258,0.0011934522,0.0012153619,0.0006573648,0.00032049345,0.0023915514,0.0006709884,0.0012703871,0.005647738],"category_scores_gemma":[0.006801941,0.0005013334,0.00068352843,0.0007248393,0.00070493546,0.002036421,0.0018582977,0.0011429883,0.00036851165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008951596,0.0000519558,0.00135827,0.00007049055,0.000119101,0.00012498269,0.000045119497,0.887578,0.00045783265,0.07780496,0.0014891466,0.030810654],"study_design_scores_gemma":[0.000050902374,0.00009197367,0.0007093953,0.000023760847,0.000034948975,0.00003320418,0.00003618159,0.90298986,0.0002431545,0.09360293,0.0021711087,0.000012536262],"about_ca_topic_score_codex":0.0019927353,"about_ca_topic_score_gemma":0.0012020144,"teacher_disagreement_score":0.005647738,"about_ca_system_score_codex":0.0010054801,"about_ca_system_score_gemma":0.0008662851,"threshold_uncertainty_score":0.0188936},"labels":[],"label_agreement":null},{"id":"W4387788514","doi":"10.1504/ijbir.2023.10059924","title":"Competitive Intelligence as a Creative Tool for the Innovation Process: An Exploratory Study in SMEs","year":2023,"lang":"en","type":"article","venue":"International Journal of Business Innovation and Research","topic":"Competitive and Knowledge Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; Université de Sherbrooke","funders":"","keywords":"Competitive intelligence; Process (computing); Business; Exploratory research; Knowledge management; Innovation process; Process management; Marketing; Computer science; Work in process; Sociology","score_opus":0.15493802399480866,"score_gpt":0.4367934155318359,"score_spread":0.28185539153702727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387788514","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":[0.9985839,0.000044334665,0.00021522825,0.00006275271,0.0000010157078,0.000034280318,0.000004210329,0.0000011135704,0.0010531502],"genre_scores_gemma":[0.99923265,0.00008929998,0.00030602096,0.000048168444,0.0000018313626,0.000047034322,0.0000048807938,0.0000015655097,0.00026865536],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9969574,0.002141152,0.00011648476,0.00013640363,0.00029217373,0.0003563946],"domain_scores_gemma":[0.98919976,0.00846284,0.00090851524,0.00025901795,0.00050631247,0.0006635059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005879304,0.00028035554,0.0004139594,0.0012406891,0.00259752,0.0028253589,0.00061953213,0.0010903785,0.0009238027],"category_scores_gemma":[0.009809001,0.00027951138,0.00030289136,0.0010088375,0.0021606137,0.002369167,0.0019347408,0.0010877966,0.00022637997],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002034551,0.0017925194,0.09246047,0.0003005312,0.000021835782,0.0034083275,0.8730542,0.00022525991,0.0040446064,0.0030356369,0.00026095993,0.021192102],"study_design_scores_gemma":[0.00004029738,0.0014035307,0.08154625,0.00024430515,0.000038197973,0.001245,0.90618294,0.0012192888,0.0016545694,0.0013571609,0.0050284658,0.000040022544],"about_ca_topic_score_codex":0.0016285117,"about_ca_topic_score_gemma":0.0028733013,"teacher_disagreement_score":0.005879304,"about_ca_system_score_codex":0.00091680017,"about_ca_system_score_gemma":0.0013104117,"threshold_uncertainty_score":0.031093061},"labels":[],"label_agreement":null}]}