{"id":"W2784698734","doi":"10.4000/corpus.2945","title":"Le Corpus de français parlé au Québec (CFPQ) et la langue des conversations familières : Exemple de mise à profit des données à partir d’un examen lexico-sémantique de la séquence je sais pas","year":2016,"lang":"fr","type":"article","venue":"Corpus","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Humanities; Philosophy; 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":[0.001731948,0.0006392018,0.0004045314,0.00452613,0.004886699,0.002624381,0.000818731,0.0008583701,0.01390258],"category_scores_gemma":[0.01048527,0.000334175,0.0002969209,0.01065831,0.001946057,0.001699757,0.001555673,0.001149303,0.001454755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01249398,"about_ca_system_score_gemma":0.01464679,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9016469,"about_ca_topic_score_gemma":0.9361079,"domain_scores_codex":[0.9980391,0.0007128865,0.0001300733,0.000442361,0.0005018586,0.0001738174],"domain_scores_gemma":[0.9901221,0.00407964,0.000462247,0.0007499039,0.004256916,0.0003291633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006096286,0.0001124748,0.06132047,0.003285817,0.0002208591,0.003535762,0.3116439,0.002593736,0.02798928,0.06869031,0.164508,0.3554897],"study_design_scores_gemma":[0.00002780608,0.00004342074,0.1340382,0.0009490767,0.00007380111,0.001047859,0.0707551,0.002421608,0.00519385,0.004013785,0.7812703,0.0001652713],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5723624,0.01018999,0.09820171,0.01219572,0.001056603,0.001349493,0.1174518,0.001442398,0.1857499],"genre_scores_gemma":[0.8229756,0.00298431,0.06193002,0.001363681,0.0001180753,0.001241919,0.03988796,0.0006518401,0.06884659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09835309,"threshold_uncertainty_score":0.1978646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03699143326992387,"score_gpt":0.2688420074781392,"score_spread":0.2318505742082153,"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."}}