{"id":"W7011327081","doi":"","title":"Macho, l'Académie française ? A propos de l'ouvrage L'Académie contre la langue française: Entretien avec Catherine Lalonde pour Le Devoir (Montréal)","year":2016,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"German Security and Defense Policies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Theme (computing); Identity (music); Subjectivity","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005710741,0.0006252397,0.0006940326,0.000229542,0.001274002,0.00037963,0.001605047,0.0007141599,0.002477946],"category_scores_gemma":[0.002246609,0.0005761081,0.000444531,0.00084491,0.002026524,0.0006069171,0.0005764659,0.0007423173,0.001084127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003322316,"about_ca_system_score_gemma":0.001228541,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1062705,"about_ca_topic_score_gemma":0.09738063,"domain_scores_codex":[0.9870397,0.008918777,0.0008215096,0.0009453955,0.0008919809,0.001382596],"domain_scores_gemma":[0.9923928,0.00330422,0.0005809141,0.001587436,0.001358149,0.0007764829],"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":[0.00008091489,0.002018078,0.005289446,0.0002479743,0.0002217907,0.0001528683,0.3195416,0.0000158592,0.01308578,0.5370736,0.04457887,0.07769326],"study_design_scores_gemma":[0.002884879,0.000003423528,0.004611239,0.001805913,0.0001363855,0.00008998433,0.003594936,0.00117272,0.02687665,0.009881724,0.9479452,0.0009968876],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4605729,0.02330077,0.02337245,0.3129352,0.0006426036,0.001177653,0.0005007981,0.0006223214,0.1768753],"genre_scores_gemma":[0.7874748,0.002726824,0.003748091,0.0006165642,0.0001889248,0.00008747861,0.00006501316,0.00009028556,0.205002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9033664,"threshold_uncertainty_score":0.9996936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008248312847612098,"score_gpt":0.2241816413156813,"score_spread":0.2159333284680692,"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."}}