{"id":"W4390641338","doi":"10.4000/imagesrevues.14646","title":"Images Re-vues : regards rétrospectifs","year":2023,"lang":"fr","type":"article","venue":"Images re-vues","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Thomas Hospital; Bibliothèque et Archives nationales du Québec","funders":"","keywords":"Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.001438971,0.0006863609,0.001000944,0.0002633409,0.002325295,0.0007163764,0.0009647798,0.0004950423,0.002722269],"category_scores_gemma":[0.001594891,0.000706383,0.0006295643,0.00233563,0.003751256,0.001037765,0.0005384495,0.0007053687,0.003970241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008691234,"about_ca_system_score_gemma":0.0002731239,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02181866,"about_ca_topic_score_gemma":0.009075151,"domain_scores_codex":[0.9942888,0.0006507938,0.0007651342,0.001079404,0.001342517,0.001873353],"domain_scores_gemma":[0.997356,0.0007386782,0.000351466,0.0006520884,0.0004751856,0.0004266007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002014946,0.0001453771,0.002791059,0.0001370773,0.0002526644,0.0001885588,0.03451286,0.000007952797,0.0003393138,0.01734454,0.914435,0.02982539],"study_design_scores_gemma":[0.0004703526,0.0002094224,0.02213827,0.0002522121,0.0001691743,0.000002868255,0.02635319,0.00003562275,0.001716205,0.02768427,0.9200528,0.0009155942],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01762437,0.1365918,0.00009156558,0.07386523,0.01373969,0.0008307804,0.0005209393,0.001841515,0.7548941],"genre_scores_gemma":[0.2547088,0.06597685,0.0007705893,0.0007364316,0.006751261,0.0001053097,0.00004391928,0.0001230878,0.6707838],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2370844,"threshold_uncertainty_score":0.9995387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04005831464040385,"score_gpt":0.3119181786561775,"score_spread":0.2718598640157737,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}