{"meta":{"query_hash":"015cded1eae7","filters":{"venue":"Handbook of Visual Display Technology"},"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/015cded1eae7","api":"https://metacan.xera.ac/api/v1/cohort?venue=Handbook+of+Visual+Display+Technology"},"results":[{"id":"W179515692","doi":"10.1007/978-3-540-79567-4_31","title":"Data Hiding and Digital Watermarking","year":2012,"lang":"en","type":"book-chapter","venue":"Handbook of Visual Display Technology","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Digital watermarking; Discrete cosine transform; Computer science; Information hiding; Embedding; Steganography; Covert; SIGNAL (programming language); Information security; Theoretical computer science; Image (mathematics); Artificial intelligence; Computer security","score_opus":0.028369224312474045,"score_gpt":0.28545935770968067,"score_spread":0.25709013339720665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W179515692","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00072390935,0.031995084,0.9078513,0.00027844688,0.0005211876,0.0007777321,0.00055029464,0.00232611,0.054975975],"genre_scores_gemma":[0.764449,0.01916652,0.18907806,0.00023560291,0.0005388896,0.00007802522,0.0010187768,0.000399483,0.025035659],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99799716,0.000009730034,0.0004982468,0.0007870691,0.00025231988,0.0004554402],"domain_scores_gemma":[0.9978194,0.00007892185,0.00039495932,0.0015485673,0.00006752292,0.00009058639],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018021918,0.00044563168,0.00059958216,0.0007673926,0.00013682673,0.00010285846,0.0020873977,0.0006773577,0.000009544503],"category_scores_gemma":[0.000024083014,0.00040210848,0.0000878187,0.00009633122,0.0005376624,0.00095539086,0.0038218566,0.00049757474,0.0000142493145],"study_design_candidate":"theoretical_or_conceptual","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":[0.00002177049,0.00006218055,0.00073032465,0.00019296001,0.0001540202,0.00006360102,0.00008811971,1.2209979e-7,0.0029458667,0.5173841,0.00042704475,0.47792986],"study_design_scores_gemma":[0.0006480194,0.00068248523,0.000044917822,0.0042094034,0.00016262666,0.0004212269,0.000013172246,0.0013587642,0.03491825,0.42903292,0.52663094,0.0018772915],"about_ca_topic_score_codex":8.980107e-7,"about_ca_topic_score_gemma":0.0000011212528,"teacher_disagreement_score":0.7637251,"about_ca_system_score_codex":0.00002418845,"about_ca_system_score_gemma":0.00003075065,"threshold_uncertainty_score":0.99984306},"labels":[],"label_agreement":null},{"id":"W2212244061","doi":"10.1007/978-3-642-35947-7_31-2","title":"Security Imaging: Data Hiding and Digital Watermarking","year":2015,"lang":"en","type":"book-chapter","venue":"Handbook of Visual Display Technology","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Digital watermarking; Information hiding; Computer science; Computer security; Artificial intelligence; Image (mathematics)","score_opus":0.029428183024546768,"score_gpt":0.29724985029504325,"score_spread":0.2678216672704965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2212244061","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008945668,0.039666176,0.82652134,0.00081588584,0.00080625317,0.0012729304,0.00082000834,0.00414852,0.1250543],"genre_scores_gemma":[0.92055726,0.005335578,0.059881967,0.00019348685,0.00032887948,0.000055766803,0.00094691454,0.00032135256,0.012378809],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99760866,0.000014049464,0.0005444603,0.0010502904,0.00035334897,0.00042921456],"domain_scores_gemma":[0.9975213,0.00006535729,0.00043053195,0.0017049517,0.00016276015,0.00011514191],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000272736,0.0004999487,0.0006751089,0.0008213213,0.0001286365,0.00015533605,0.002413388,0.0005093323,0.000005375649],"category_scores_gemma":[0.000047920446,0.00046256417,0.00008857254,0.00011825283,0.0007050059,0.0009640434,0.0046298937,0.000588543,0.000008827017],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006114246,0.00012059845,0.0015717633,0.0003313643,0.00021993708,0.00039461878,0.00028340085,5.63911e-7,0.0016396503,0.7051722,0.004415053,0.28578976],"study_design_scores_gemma":[0.00047316795,0.00029526223,0.0000056805175,0.0019030793,0.00006566761,0.00029087195,0.000014891832,0.0039677466,0.006194709,0.7572776,0.22855675,0.00095458457],"about_ca_topic_score_codex":0.0000024600054,"about_ca_topic_score_gemma":0.0000017986446,"teacher_disagreement_score":0.91966265,"about_ca_system_score_codex":0.000042487496,"about_ca_system_score_gemma":0.00007218545,"threshold_uncertainty_score":0.9997826},"labels":[],"label_agreement":null},{"id":"W4231914801","doi":"10.1007/978-3-319-14346-0_7","title":"Flicker Sensitivity","year":2016,"lang":"en","type":"book-chapter","venue":"Handbook of Visual Display Technology","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Flicker fusion threshold; Flicker; Luminance; Computer vision; Computer science; Artificial intelligence; Refresh rate; Optics; Physics; Computer graphics (images)","score_opus":0.0344463698908005,"score_gpt":0.31506570587244254,"score_spread":0.280619335981642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231914801","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007727652,0.0012108367,0.045091446,0.0013639203,0.0017078,0.0012659216,0.00053138775,0.0020519365,0.9390491],"genre_scores_gemma":[0.34494907,0.001383403,0.00050395087,0.0010436174,0.0002549763,0.000030055771,0.000015796799,0.00022759676,0.65159154],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977659,0.000046119134,0.0004984323,0.0008433125,0.00042579687,0.00042046077],"domain_scores_gemma":[0.9986472,0.00016866943,0.00044685457,0.0005134981,0.000117764415,0.00010601542],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00018092104,0.0004933245,0.00070336956,0.0006598607,0.00015720027,0.000022417256,0.00032602507,0.0012152517,0.0014730889],"category_scores_gemma":[0.00024346894,0.00040027505,0.00020643427,0.00009323479,0.00097410235,0.000101738544,0.0002908197,0.00054068066,0.0017244276],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046898633,0.00004882817,0.0000029496891,0.000059482732,0.000010555099,0.000058753627,0.000024201749,9.854069e-8,0.64133435,0.32759055,0.00036428828,0.030459065],"study_design_scores_gemma":[0.000572673,0.00064555625,0.0000037532432,0.0015807073,0.000055870307,0.00014966117,0.000007451578,0.00006727084,0.8264085,0.10106777,0.068788126,0.0006526422],"about_ca_topic_score_codex":9.539432e-7,"about_ca_topic_score_gemma":0.000005712478,"teacher_disagreement_score":0.3372214,"about_ca_system_score_codex":0.000064259264,"about_ca_system_score_gemma":0.0001086627,"threshold_uncertainty_score":0.9998449},"labels":[],"label_agreement":null},{"id":"W4231980254","doi":"10.1007/978-3-319-14346-0_32","title":"Security Imaging: Biometrics and Recognition Technology","year":2016,"lang":"en","type":"book-chapter","venue":"Handbook of Visual Display Technology","topic":"Biometric Identification and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Biometrics; Eigenface; Facial recognition system; Computer science; Fingerprint (computing); Artificial intelligence; Pattern recognition (psychology); Signature recognition; Face (sociological concept); Three-dimensional face recognition; Principal component analysis; Fingerprint recognition; Computer vision; Face detection","score_opus":0.015665300592305968,"score_gpt":0.2678236032764503,"score_spread":0.2521583026841443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231980254","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029409702,0.07621599,0.7709085,0.008991086,0.0026338175,0.0021765963,0.0007641705,0.003713534,0.1316554],"genre_scores_gemma":[0.6297131,0.074163884,0.077652745,0.0013645965,0.0007138627,0.00044809873,0.0005715324,0.000675603,0.21469653],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997543,0.000020090696,0.0006821049,0.00096900517,0.00038597084,0.0003998752],"domain_scores_gemma":[0.99769926,0.00012599227,0.0006545318,0.00091532356,0.0004983568,0.0001065293],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003046567,0.00042236166,0.0006541234,0.009347839,0.00012750138,0.00006676484,0.001126839,0.0012863972,0.000103706996],"category_scores_gemma":[0.00023159181,0.00038267297,0.00012427359,0.0015982821,0.001162887,0.00023072587,0.0009467959,0.00052804383,0.00021077707],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007903821,0.00008396421,0.00014686734,0.00008720904,0.000057849797,0.000025441535,0.000029095758,2.2312503e-9,0.0023669954,0.5517856,0.0007673696,0.44464168],"study_design_scores_gemma":[0.00086626696,0.00038079103,0.000036767364,0.00075025746,0.00007331825,0.00018422016,0.000015485057,0.00031989184,0.023953069,0.80795085,0.16465801,0.00081107847],"about_ca_topic_score_codex":0.000003496848,"about_ca_topic_score_gemma":0.0000036551817,"teacher_disagreement_score":0.6932557,"about_ca_system_score_codex":0.00009529656,"about_ca_system_score_gemma":0.00011131568,"threshold_uncertainty_score":0.9998625},"labels":[],"label_agreement":null},{"id":"W4237353299","doi":"10.1007/978-3-319-14346-0_4","title":"Anatomy of the Eye","year":2016,"lang":"en","type":"book-chapter","venue":"Handbook of Visual Display Technology","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Anatomy; Optometry; Cognitive science; Medicine; Psychology","score_opus":0.025567309781111443,"score_gpt":0.33227745813742277,"score_spread":0.30671014835631133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237353299","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020788658,0.002857935,0.008611869,0.0021265482,0.002469275,0.0019466984,0.00059113523,0.0008785286,0.9597294],"genre_scores_gemma":[0.54375434,0.00095273426,0.00017658724,0.0004784635,0.000086515705,0.000024451303,0.0000032395392,0.00012215522,0.45440155],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99824965,0.000030836138,0.0005259747,0.0005060957,0.00041815004,0.0002692985],"domain_scores_gemma":[0.9985253,0.000079790676,0.0006483899,0.00059026445,0.00010735652,0.00004885329],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00010409982,0.00033290163,0.0005416837,0.00041284616,0.00011920765,0.000009168274,0.00084859,0.0008153424,0.00095780235],"category_scores_gemma":[0.00018089474,0.00020926964,0.00022906906,0.0001296205,0.0012912746,0.00005610643,0.00036942845,0.00041532464,0.00018709325],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027689866,0.000040478677,0.000016490263,0.00008276292,0.000009741308,0.0000036007614,0.00002379291,8.9066624e-8,0.54347086,0.44366744,0.0001580469,0.012498996],"study_design_scores_gemma":[0.00040645103,0.00037701166,0.000011286337,0.0016933334,0.000045341007,0.000014972197,0.00000766574,0.000015480691,0.8452569,0.10537612,0.046520997,0.00027440907],"about_ca_topic_score_codex":7.90111e-7,"about_ca_topic_score_gemma":0.000002707582,"teacher_disagreement_score":0.52296567,"about_ca_system_score_codex":0.00003670187,"about_ca_system_score_gemma":0.000121466604,"threshold_uncertainty_score":0.9999555},"labels":[],"label_agreement":null},{"id":"W4300942760","doi":"10.1007/978-3-319-14346-0_16","title":"Color Vision Deficiencies","year":2016,"lang":"en","type":"book-chapter","venue":"Handbook of Visual Display Technology","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Color vision; Artificial intelligence; Computer science; Computer vision; Optometry; Medicine","score_opus":0.03311846428276629,"score_gpt":0.3259015766931166,"score_spread":0.2927831124103503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4300942760","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021591282,0.0029857676,0.02369498,0.0012044521,0.0017888062,0.0015145865,0.00038737655,0.0019727882,0.94486],"genre_scores_gemma":[0.37329137,0.0025026668,0.0007459452,0.00087519776,0.00015900876,0.000056980884,0.000014707349,0.00022078626,0.6221334],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99757296,0.000027250242,0.000587209,0.0008486064,0.0005221534,0.00044179836],"domain_scores_gemma":[0.9986331,0.0001561077,0.0005118692,0.0004701809,0.0001309512,0.000097774966],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00015239877,0.00048112543,0.00066348765,0.0008208505,0.00022823211,0.000034818975,0.0006558421,0.0011294996,0.0015249423],"category_scores_gemma":[0.00024732307,0.0003699787,0.00019100608,0.00013175482,0.001267738,0.00012542373,0.00034458362,0.00043186307,0.0014190992],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005338776,0.000058713347,0.0000018274993,0.000060863455,0.0000049668292,0.000016270114,0.000029091898,2.1302588e-7,0.6015529,0.37862834,0.00035713284,0.019236293],"study_design_scores_gemma":[0.0006976796,0.0023823392,0.000004084049,0.0021884388,0.00005734204,0.00008100749,0.000023145896,0.00010524464,0.7878247,0.12132961,0.08460142,0.0007050076],"about_ca_topic_score_codex":5.3929483e-7,"about_ca_topic_score_gemma":0.0000034024658,"teacher_disagreement_score":0.35170007,"about_ca_system_score_codex":0.00007879785,"about_ca_system_score_gemma":0.00013423152,"threshold_uncertainty_score":0.9998752},"labels":[],"label_agreement":null},{"id":"W4315851341","doi":"10.1007/978-3-642-35947-7_214-1","title":"Image Enhancement","year":2022,"lang":"en","type":"book-chapter","venue":"Handbook of Visual Display Technology","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Faurecia (Canada)","funders":"","keywords":"Luminance; Computer vision; Display size; Computer science; Pixel; Grayscale; Image quality; Artificial intelligence; Digital signage; Computer graphics (images); Display device; Optics; Multimedia; Physics; Image (mathematics)","score_opus":0.00853548548947586,"score_gpt":0.28598239791485963,"score_spread":0.2774469124253838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315851341","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022664447,0.00077049225,0.0148021635,0.0004187932,0.00017186013,0.00068506494,0.00024053834,0.00010859234,0.98053604],"genre_scores_gemma":[0.22787407,0.0005570891,0.006180466,0.00015073559,0.00039299318,0.0012967491,0.00076340884,0.00017712612,0.76260734],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99886817,0.0000038804183,0.0003181242,0.00038035846,0.00020605014,0.00022341502],"domain_scores_gemma":[0.99919444,0.000024639261,0.00027565254,0.00040684282,0.00005812234,0.00004030976],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000059170874,0.00022329947,0.00033769192,0.00025153768,0.00015375955,0.000010925137,0.00043267268,0.00012083922,0.015524357],"category_scores_gemma":[0.0000017489759,0.00022734722,0.00014554124,0.00008755143,0.00034401406,0.00004958499,0.0003658338,0.00034264196,0.00025437764],"study_design_candidate":"theoretical_or_conceptual","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":[0.000006678726,0.000121289326,0.000067491346,0.000012404689,0.00006143214,0.0000018994192,0.00002410585,5.100763e-7,0.019175567,0.9532705,0.0017681513,0.025489971],"study_design_scores_gemma":[0.00035813864,0.00051565765,0.000009632856,0.00015726892,0.00010664091,0.0000016145221,0.00008779421,0.00009690734,0.042505912,0.15837686,0.797301,0.00048259724],"about_ca_topic_score_codex":0.0000141210885,"about_ca_topic_score_gemma":0.000002339867,"teacher_disagreement_score":0.7955328,"about_ca_system_score_codex":0.000036596084,"about_ca_system_score_gemma":0.000095035415,"threshold_uncertainty_score":0.9853756},"labels":[],"label_agreement":null},{"id":"W4404604897","doi":"10.1007/978-3-642-35947-7_225-1","title":"Principles of Display Holography","year":2024,"lang":"en","type":"book-chapter","venue":"Handbook of Visual Display Technology","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Victoria","funders":"","keywords":"Holography; Computer graphics (images); Computer science; Optics; Physics","score_opus":0.01287776620504181,"score_gpt":0.26496891908022185,"score_spread":0.25209115287518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404604897","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009676713,0.13987355,0.059331346,0.00032408585,0.0019291406,0.0018512319,0.0009270003,0.014626874,0.77146006],"genre_scores_gemma":[0.6332297,0.04134927,0.12682651,0.00009623203,0.0003653574,0.0005451151,0.00034864905,0.0024695315,0.19476964],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978466,0.0000032013972,0.0008841279,0.00053544657,0.0002733891,0.00045722927],"domain_scores_gemma":[0.998655,0.00010968148,0.0002242949,0.0008439954,0.00011091474,0.000056080647],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00007701175,0.0006381219,0.0010924811,0.0016486723,0.000029348554,0.000011135253,0.0007507683,0.0014321234,0.00006083767],"category_scores_gemma":[0.000079644116,0.0005994473,0.00032670746,0.00026077387,0.0019030881,0.00007419933,0.00052925915,0.0011253182,0.00010248594],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016500631,0.000039809296,0.00009621383,0.0010131637,0.00041835444,0.00007627071,0.000016861686,0.0002323369,0.018734729,0.97104555,0.00024402826,0.0080661625],"study_design_scores_gemma":[0.0006785308,0.0011557547,0.00004395033,0.00890975,0.00073840946,0.0000981382,0.00006509769,0.004841465,0.24965961,0.4994385,0.23245855,0.0019122374],"about_ca_topic_score_codex":9.573185e-7,"about_ca_topic_score_gemma":0.0000057244483,"teacher_disagreement_score":0.623553,"about_ca_system_score_codex":0.00006634533,"about_ca_system_score_gemma":0.000026105039,"threshold_uncertainty_score":0.9998642},"labels":[],"label_agreement":null}]}