{"id":"W4388702478","doi":"10.4000/sdt.44538","title":"Émilie Biland, Gouverner la vie privée. L’encadrement inégalitaire des séparations conjugales en France et au Québec","year":2023,"lang":"fr","type":"article","venue":"Sociologie du Travail","topic":"Social Policies and Family","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":["sts"],"category_scores_codex":[0.002502943,0.0003702073,0.0004934634,0.0000692771,0.002037017,0.0001149138,0.0006162151,0.0007934119,0.0003672071],"category_scores_gemma":[0.0011042,0.0003511166,0.0003444504,0.0007533811,0.006772429,0.0002993197,0.0001705926,0.0005796951,0.001625238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001151082,"about_ca_system_score_gemma":0.002393502,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1581223,"about_ca_topic_score_gemma":0.1462274,"domain_scores_codex":[0.995647,0.001742668,0.0005124514,0.0005133937,0.0004837106,0.001100767],"domain_scores_gemma":[0.9971734,0.00194078,0.0001978278,0.0002923666,0.0001580869,0.0002375679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001619972,0.0002361484,0.3812396,0.00009960287,0.0002443312,0.00002798425,0.2328617,0.0001993133,0.0001597441,0.08011088,0.2757199,0.02908466],"study_design_scores_gemma":[0.0003738776,0.0001099774,0.4886764,0.00005903708,0.00006538037,0.000001025505,0.06323206,0.00004355791,0.0000125856,0.008633531,0.4384309,0.0003616017],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8302606,0.03831808,0.0001001601,0.06630884,0.002407094,0.0006435539,0.0003054304,0.0005528857,0.0611033],"genre_scores_gemma":[0.8991719,0.05998719,0.0000974549,0.002761835,0.001338377,0.0001478895,0.00005492447,0.00004383927,0.03639653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1696297,"threshold_uncertainty_score":0.9998941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0633278000339439,"score_gpt":0.3456282316907294,"score_spread":0.2823004316567855,"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."}}