{"id":"W7070623985","doi":"","title":"\"Prends du temps pour toi\" : étude sémantique de corpus sur les origines et la constitution des principaux usages linguistiques autour de la notion de temps pour soi en français","year":2022,"lang":"fr","type":"other","venue":"Corpus Université Laval (Université Laval)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lexicography; Lexicology; Context (archaeology); Linguistic analysis","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":[0.001916337,0.0004209988,0.0003068147,0.003911575,0.002789742,0.003784316,0.0004509821,0.0004724415,0.00427973],"category_scores_gemma":[0.0054562,0.0004003295,0.0002779766,0.007472488,0.002935855,0.003855191,0.001205927,0.0008916223,0.0008131849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003778862,"about_ca_system_score_gemma":0.003443447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1326257,"about_ca_topic_score_gemma":0.1462746,"domain_scores_codex":[0.9985927,0.0004189434,0.0001474436,0.0003931054,0.0003320158,0.0001157283],"domain_scores_gemma":[0.9934412,0.003185021,0.0006983644,0.0005420211,0.001934676,0.000198708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005302986,0.00007297188,0.1199401,0.001936239,0.0001389293,0.001625164,0.4207101,0.001232582,0.04542432,0.1880764,0.02987318,0.1904396],"study_design_scores_gemma":[0.0000246577,0.00007789223,0.2322384,0.0007582697,0.0001243131,0.001495311,0.1200285,0.004307184,0.01505729,0.009621981,0.6160832,0.0001829341],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8576037,0.002643345,0.03905498,0.002866023,0.0002456217,0.0001355163,0.01492246,0.0005710613,0.08195728],"genre_scores_gemma":[0.9651428,0.001196625,0.0132988,0.0001664047,0.00005703532,0.0001780379,0.005250927,0.0003882535,0.01432111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1326257,"threshold_uncertainty_score":0.2637075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01081058358589576,"score_gpt":0.2314491134209881,"score_spread":0.2206385298350923,"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."}}