{"id":"W4391344870","doi":"10.7202/1108565ar","title":"Les séquences préfabriquées et leur rôle dans la communication orale en français Lx","year":2024,"lang":"fr","type":"article","venue":"La Revue de l'AQEFLS/Revue de l'AQEFLS","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.005177664,0.0006027917,0.0002425108,0.00189718,0.003166196,0.00714695,0.0007061138,0.001367507,0.01581866],"category_scores_gemma":[0.0149906,0.0003239333,0.0003230932,0.001395936,0.006669099,0.005507341,0.003477872,0.001897529,0.002550154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005593311,"about_ca_system_score_gemma":0.0115992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05511823,"about_ca_topic_score_gemma":0.06095969,"domain_scores_codex":[0.994767,0.002908722,0.0002846519,0.0005554232,0.001143628,0.0003406522],"domain_scores_gemma":[0.9901832,0.004634521,0.001042904,0.0008546203,0.002456479,0.0008283169],"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":[0.0001336909,0.00009901634,0.01505067,0.001252117,0.00002659915,0.0007386357,0.3384008,0.0004323264,0.008311846,0.2220075,0.009295366,0.4042515],"study_design_scores_gemma":[0.00002509753,0.0002374226,0.04074416,0.002725377,0.00005352087,0.001609688,0.2180451,0.001484661,0.004923125,0.04203628,0.687968,0.0001475537],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4449546,0.01121988,0.09817981,0.01636763,0.001005248,0.000481003,0.0005261797,0.0005409418,0.4267247],"genre_scores_gemma":[0.897192,0.005301121,0.03155569,0.0008909493,0.0001467942,0.0003226392,0.0003426386,0.0001725164,0.06407559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05511823,"threshold_uncertainty_score":0.1095948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03264686632817924,"score_gpt":0.2876385728861964,"score_spread":0.2549917065580171,"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."}}