{"id":"W2096018079","doi":"10.7202/602710ar","title":"La modélisation psychomécanique des systèmes temporels : le cas du russe","year":2009,"lang":"fr","type":"article","venue":"Revue québécoise de linguistique","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Humanities; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001593503,0.0007034055,0.0006438221,0.001116925,0.001675052,0.005496555,0.002168723,0.002375867,0.008954731],"category_scores_gemma":[0.003197008,0.0005643597,0.001256514,0.001417528,0.009785304,0.007705237,0.002389243,0.003183043,0.001529349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004718546,"about_ca_system_score_gemma":0.00452185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03214019,"about_ca_topic_score_gemma":0.01745963,"domain_scores_codex":[0.9989078,0.0004631999,0.0000414169,0.0002668147,0.0002133642,0.0001073886],"domain_scores_gemma":[0.9986818,0.0006186879,0.0001309495,0.0002783555,0.0001962771,0.00009388279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001440479,0.000004018933,0.0001882595,0.00003121371,0.000008554987,0.00005651351,0.0007948573,0.005358017,0.0002347286,0.9903989,0.0005796024,0.002330853],"study_design_scores_gemma":[0.00001925992,0.00002105037,0.0003260698,0.00003986841,0.00001809031,0.00009240027,0.0004250181,0.0470091,0.0002691206,0.926774,0.02497944,0.00002656315],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06217298,0.005008986,0.7117026,0.02526832,0.0004663669,0.00008697654,0.0006575829,0.0008737106,0.1937624],"genre_scores_gemma":[0.8962312,0.002439238,0.06949809,0.0009577967,0.0002388897,0.0002255036,0.0002859427,0.0002311533,0.02989209],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03214019,"threshold_uncertainty_score":0.06390625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01964839888826903,"score_gpt":0.2813599022731619,"score_spread":0.2617115033848929,"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."}}