{"id":"W6997400499","doi":"","title":"V. Trouble des conduites et expertise pronostique : éléments d’une comparaison entre la France et le Canada","year":2023,"lang":"fr","type":"other","venue":"Cairn.info","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Context (archaeology); Perspective (graphical); Field (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0006044449,0.001534253,0.001655353,0.0003195047,0.0003779926,0.0003364187,0.001064836,0.0008282857,0.01455574],"category_scores_gemma":[0.0005908812,0.001702421,0.0003188036,0.0009377547,0.000997636,0.000622707,0.0003498918,0.001178841,0.008349745],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.007048866,"about_ca_system_score_gemma":0.006155768,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9744636,"about_ca_topic_score_gemma":0.9914947,"domain_scores_codex":[0.9939519,0.000818604,0.001083711,0.001375028,0.001102175,0.001668623],"domain_scores_gemma":[0.995926,0.0009010618,0.0008795551,0.001210185,0.0003151795,0.0007679753],"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":[0.0002512386,0.000895759,0.05334978,0.00117811,0.001289947,0.001235939,0.02744975,0.002601433,0.003362522,0.05272038,0.8500987,0.005566405],"study_design_scores_gemma":[0.003565107,0.0001189381,0.02548194,0.002708737,0.0001304704,0.00005474466,0.001225689,0.000639663,0.003115561,0.00009366466,0.9612254,0.001640078],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05626163,0.0132773,0.0001936675,0.004311193,0.002276773,0.003509336,0.004367439,0.00138742,0.9144152],"genre_scores_gemma":[0.1332932,0.0004740217,0.0007144412,0.001268614,0.0002731329,0.0006886649,0.0005127473,0.002471104,0.8603041],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1111267,"threshold_uncertainty_score":0.9997406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02102396478135385,"score_gpt":0.2727143164937734,"score_spread":0.2516903517124195,"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."}}