{"id":"W4247952962","doi":"10.3917/dio.261.0175","title":"Compte rendu","year":2019,"lang":"fr","type":"article","venue":"Diogène","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Environmental science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003265281,0.0001838893,0.0002411303,0.00004220724,0.0002053604,0.0001005333,0.0002870959,0.0002054312,0.005419385],"category_scores_gemma":[0.00008173235,0.0001795625,0.0001425201,0.0002148898,0.0006144169,0.0003480861,0.00005669497,0.0001806393,0.01015191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007153676,"about_ca_system_score_gemma":0.0002818914,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008966469,"about_ca_topic_score_gemma":0.00206243,"domain_scores_codex":[0.9980929,0.0002529731,0.0002889844,0.000324209,0.0004504513,0.0005904929],"domain_scores_gemma":[0.999045,0.0001103887,0.0001234469,0.0003252907,0.0001772482,0.0002186509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009293294,0.0001949888,0.06740478,0.00009880306,0.0001220237,0.000009875521,0.09324089,0.0001051711,0.0006541609,0.5505199,0.2840176,0.003622497],"study_design_scores_gemma":[0.000303145,0.00002774912,0.04304726,0.00004455834,0.00003219294,0.00000268235,0.006852762,0.0003374698,0.0002284421,0.0003044594,0.9485633,0.000255929],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7650613,0.003532681,0.00002835595,0.03542616,0.007124704,0.0004072043,0.00007210924,0.00009674511,0.1882508],"genre_scores_gemma":[0.5015343,0.0002798979,0.0002361508,0.00480493,0.000995617,0.000003922524,0.00003582223,0.00001608257,0.4920933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6645457,"threshold_uncertainty_score":0.9976329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1278377729394811,"score_gpt":0.3912209127152594,"score_spread":0.2633831397757783,"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."}}