{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007444323,0.001262359,0.0006700896,0.004508735,0.008122407,0.01675822,0.001335205,0.006856679,0.03804654],"category_scores_gemma":[0.03365033,0.0004806858,0.0008098882,0.003238591,0.009806599,0.01046941,0.00483789,0.007662117,0.005489988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01152077,"about_ca_system_score_gemma":0.004751696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02987036,"about_ca_topic_score_gemma":0.02372494,"domain_scores_codex":[0.9940666,0.00270865,0.0002680066,0.0006826107,0.001225479,0.001048686],"domain_scores_gemma":[0.9845006,0.006420533,0.001227147,0.001208044,0.004950956,0.001692713],"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":[0.0002354901,0.00009960843,0.004225791,0.001344988,0.00006007383,0.002684413,0.05228513,0.0001931799,0.001019433,0.2675648,0.5215385,0.1487486],"study_design_scores_gemma":[0.000005463371,0.0000173278,0.001475892,0.0006947553,0.000007758716,0.001422604,0.01595874,0.00003114668,0.0002265426,0.002458133,0.9776808,0.00002088195],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.03907898,0.2356581,0.002452308,0.39465,0.04305002,0.0000799707,0.001006939,0.0003186925,0.283705],"genre_scores_gemma":[0.5915853,0.1185772,0.001459846,0.04319339,0.05319606,0.0001712809,0.0008574354,0.0007559728,0.1902034],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03804654,"threshold_uncertainty_score":0.1272783,"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."}}