{"id":"W2982617748","doi":"","title":"Analyse comparée du discours gouvernemental au Canada et au Québec","year":2019,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Throne; Politics; Constitution; Political science; Prime minister; Power (physics); Humanities; Sociology; Law; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008466908,0.0003827399,0.000499387,0.003646264,0.007054497,0.003852982,0.0007198412,0.0008004817,0.01277864],"category_scores_gemma":[0.00431214,0.0002613059,0.0004160985,0.005201348,0.001613251,0.0007928472,0.001206581,0.001496011,0.0007295656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04884023,"about_ca_system_score_gemma":0.0372502,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9934244,"about_ca_topic_score_gemma":0.9957729,"domain_scores_codex":[0.9987205,0.0002345723,0.00004769581,0.0001509161,0.0005102168,0.000336068],"domain_scores_gemma":[0.9942953,0.001524618,0.0004210486,0.00008978734,0.003133905,0.0005353555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007187495,0.0002135032,0.4423327,0.0007575026,0.0003214954,0.003597531,0.3309484,0.002623788,0.00604403,0.04786268,0.03526128,0.1293184],"study_design_scores_gemma":[0.00002239351,0.00005151203,0.7137219,0.0003177319,0.00007884757,0.0002863767,0.1253079,0.0008455307,0.0008199214,0.000412718,0.1580803,0.00005485352],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9246017,0.002781526,0.001135314,0.002533481,0.00008599892,0.00007128779,0.002070551,0.00005913636,0.06666099],"genre_scores_gemma":[0.9263338,0.001107052,0.0006855575,0.0002255005,0.00001801402,0.00005443952,0.0006547184,0.00004685878,0.0708741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04884023,"threshold_uncertainty_score":0.3543623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0119429259087665,"score_gpt":0.2252494839554698,"score_spread":0.2133065580467033,"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."}}