{"id":"W4399287562","doi":"10.7202/1106135ar","title":"LES RECOURS COLLECTIFS ETL’INDUSTRIE DE L’ASSURANCE","year":2002,"lang":"fr","type":"article","venue":"Assurances :","topic":"Migration, Identity, and Health","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science","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","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001259139,0.0002463541,0.0003842231,0.00009805901,0.001948891,0.0002373917,0.0004308714,0.0004549218,0.007689081],"category_scores_gemma":[0.0003908263,0.0002805831,0.0001553329,0.001302581,0.0006600035,0.000674284,0.00001906737,0.0004833604,0.0008136348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005444855,"about_ca_system_score_gemma":0.0004579269,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06275582,"about_ca_topic_score_gemma":0.2491139,"domain_scores_codex":[0.9969118,0.0005760682,0.0004630364,0.0004407528,0.0006106518,0.0009977138],"domain_scores_gemma":[0.9984546,0.0003983954,0.0002906098,0.0002662478,0.0002268265,0.0003632837],"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":[0.00001393581,0.000248349,0.1928098,0.0001590583,0.00006097632,0.00001825532,0.02098008,0.0001256199,0.00001173477,0.01178989,0.6406507,0.1331315],"study_design_scores_gemma":[0.0004273497,0.0001134476,0.08367901,0.0001933238,0.00006794605,0.00001076665,0.002986043,0.0007200561,0.00004726133,0.005331747,0.9060184,0.0004046942],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2405814,0.07440874,0.0002271581,0.09710395,0.007608819,0.0005875764,0.00008259224,0.0001808126,0.5792189],"genre_scores_gemma":[0.7889068,0.03782597,0.0002758119,0.0004343868,0.002033764,0.00002809171,0.000003153423,0.00002241994,0.1704696],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5483254,"threshold_uncertainty_score":0.9999647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07498500327907016,"score_gpt":0.3324045788599459,"score_spread":0.2574195755808757,"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."}}