{"id":"W2612022373","doi":"","title":"Parler pour médire / Anne-Marie Beaudoin-Bégin, La langue rapaillée. Combattre l’insécurité linguistique des Québécois, Montréal, Éditions Somme toute, Collection Identité, 2015, 120 pages","year":2016,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Linguistic and Sociocultural Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Political science; Art","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":[0.001487383,0.001254519,0.0005456551,0.002771296,0.005781795,0.004575556,0.001373124,0.001394364,0.0217713],"category_scores_gemma":[0.002870925,0.0005145709,0.0004304728,0.004234628,0.003462421,0.003892918,0.001312298,0.002477983,0.003651775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02311897,"about_ca_system_score_gemma":0.03529642,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9681351,"about_ca_topic_score_gemma":0.9841399,"domain_scores_codex":[0.999118,0.0001860335,0.00003866789,0.000102922,0.0004024583,0.0001519068],"domain_scores_gemma":[0.9985607,0.0002528676,0.00006293118,0.00005694099,0.0008868157,0.0001796259],"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":[0.00003083616,0.00001416041,0.001675622,0.0003842004,0.00001683348,0.0001039928,0.008951151,0.0001180776,0.0004773216,0.01504378,0.8891329,0.08405118],"study_design_scores_gemma":[0.00000588829,0.000006537739,0.008936017,0.0004650378,0.00001190837,0.00009900489,0.004925522,0.00009364276,0.0003144347,0.001000904,0.9841149,0.00002618644],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.008844891,0.751576,0.003834231,0.1235578,0.01336681,0.00008282399,0.005185228,0.0004799997,0.09307228],"genre_scores_gemma":[0.1529702,0.3408966,0.008673721,0.01123352,0.004520584,0.000209643,0.004252743,0.0009056063,0.4763374],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03186488,"threshold_uncertainty_score":0.1677407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01046732624045401,"score_gpt":0.2199712728184857,"score_spread":0.2095039465780317,"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."}}