{"id":"W7112040934","doi":"","title":"Une analyse collocationnelle des mots automobile, voiture et char","year":2025,"lang":"fr","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Char; Context (archaeology); Yield (engineering); Work (physics)","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":[0.003294372,0.0012732,0.0006663704,0.002376739,0.003119998,0.003653568,0.0006787113,0.001794074,0.01481764],"category_scores_gemma":[0.01315711,0.0007210664,0.001129313,0.00240517,0.001548281,0.003732027,0.001508138,0.002797073,0.002952574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003764115,"about_ca_system_score_gemma":0.002704563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.193306,"about_ca_topic_score_gemma":0.1453532,"domain_scores_codex":[0.9949013,0.002816218,0.0002021404,0.0009658204,0.0009140315,0.0002005214],"domain_scores_gemma":[0.9849685,0.01110638,0.0003595954,0.0006800485,0.002668796,0.0002166634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002148782,0.0005735995,0.04976217,0.002368936,0.000914706,0.003226805,0.08030828,0.01424326,0.09507958,0.2117988,0.07390705,0.4656681],"study_design_scores_gemma":[0.0006335395,0.0003746791,0.1822959,0.0008388634,0.000453655,0.00386986,0.04866419,0.1305113,0.03209247,0.03427452,0.5655251,0.0004659228],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5543001,0.004462633,0.3107037,0.007235815,0.001256754,0.0003585266,0.01084006,0.002035773,0.1088067],"genre_scores_gemma":[0.8507064,0.001100192,0.0941041,0.0003891266,0.0003362855,0.0002273566,0.008112806,0.001349867,0.04367395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.193306,"threshold_uncertainty_score":0.3843616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01241569205970948,"score_gpt":0.2712265764785907,"score_spread":0.2588108844188812,"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."}}