{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01353643,0.0006528955,0.0005182392,0.006767944,0.002324269,0.008592355,0.001307638,0.00114351,0.01835598],"category_scores_gemma":[0.03782709,0.0005099195,0.0007470566,0.006720926,0.00422889,0.006445986,0.003826255,0.001384957,0.001827184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007622707,"about_ca_system_score_gemma":0.00536013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03577866,"about_ca_topic_score_gemma":0.04212588,"domain_scores_codex":[0.9841704,0.006544936,0.001064776,0.002107566,0.005151734,0.0009605138],"domain_scores_gemma":[0.9573116,0.02778248,0.004755111,0.003300756,0.006169396,0.0006806951],"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":[0.0001507899,0.00007451453,0.1178282,0.0008541234,0.0002460456,0.0001949901,0.04134145,0.003893794,0.001410566,0.6890266,0.009013843,0.1359651],"study_design_scores_gemma":[0.0000425128,0.000186291,0.1981845,0.002257717,0.0002843938,0.000526401,0.06647491,0.01566379,0.006219595,0.3682463,0.3416728,0.0002408429],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4179449,0.006189482,0.1503428,0.008527176,0.0003348115,0.0004506591,0.00486455,0.0006291639,0.4107164],"genre_scores_gemma":[0.9331028,0.001127906,0.03198218,0.0002907686,0.00008252274,0.0003200392,0.00107684,0.0001368764,0.03188007],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03577866,"threshold_uncertainty_score":0.0715884,"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."}}