{"id":"W4409134596","doi":"10.4000/13men","title":"Quantifier l'égalité au travail","year":2021,"lang":"fr","type":"book","venue":"Presses universitaires de Rennes eBooks","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quantifier (linguistics); Political science; Business; Computer science; Artificial intelligence","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":[0.0006589693,0.0006136905,0.0007704154,0.0001212063,0.001770761,0.0002936868,0.001552128,0.0009406162,0.001455122],"category_scores_gemma":[0.0002137394,0.000699713,0.0006642697,0.000330101,0.003362599,0.0004275748,0.0004460381,0.000654278,0.0001653211],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001980378,"about_ca_system_score_gemma":0.006079263,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0566623,"about_ca_topic_score_gemma":0.1177837,"domain_scores_codex":[0.9951822,0.0007488625,0.0004562128,0.001045993,0.001110797,0.001455947],"domain_scores_gemma":[0.9971898,0.0006872332,0.0005924166,0.0005705719,0.0003388954,0.0006211128],"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":[0.00006454855,0.0001317963,0.004828407,0.0004079366,0.0004635468,0.000767419,0.03142736,0.0000665381,0.0001907602,0.6519454,0.1414474,0.1682589],"study_design_scores_gemma":[0.000398075,0.0001018851,0.00313411,0.0008090468,0.000452918,0.00001745707,0.01641239,0.00006691494,0.0001481932,0.02165949,0.9557437,0.001055875],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02910102,0.007019662,0.0002266886,0.00444842,0.002484179,0.0004166801,0.0001712177,0.0001505009,0.9559816],"genre_scores_gemma":[0.3518328,0.0021987,0.0002312489,0.0002043928,0.001678873,0.000008674502,0.00004074451,0.00005463258,0.6437499],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8142962,"threshold_uncertainty_score":0.9995553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02995632867690455,"score_gpt":0.2620680074795612,"score_spread":0.2321116788026567,"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."}}