{"id":"W16462956","doi":"10.1039/b511363f","title":"Le Multi, un dictionnaire ambigu","year":2004,"lang":"en","type":"article","venue":"Québec français/Québec-français","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001425593,0.0009456582,0.0009380656,0.009390341,0.003990051,0.006716029,0.001295573,0.001772987,0.03470679],"category_scores_gemma":[0.007673114,0.0004193742,0.0003464615,0.009400651,0.004698,0.004332845,0.002323206,0.002691143,0.01079836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006705883,"about_ca_system_score_gemma":0.005099303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09538335,"about_ca_topic_score_gemma":0.1017372,"domain_scores_codex":[0.9983348,0.0004256814,0.0001982965,0.0002935422,0.0006189641,0.0001287387],"domain_scores_gemma":[0.9954219,0.001875569,0.000313581,0.0005712115,0.001594696,0.0002229551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009487108,0.00002066216,0.001074659,0.001386635,0.00003257526,0.0005854266,0.00584612,0.000312767,0.0009976639,0.1029955,0.5926563,0.2939969],"study_design_scores_gemma":[9.649516e-7,0.000001776728,0.0003853422,0.0003017858,0.000002352734,0.0002214088,0.0003309872,0.00004086837,0.00007983276,0.001204759,0.9974235,0.000006365748],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.008595139,0.426035,0.01687259,0.07090607,0.03769072,0.00009147597,0.007027243,0.001335346,0.4314464],"genre_scores_gemma":[0.1247239,0.2712969,0.02298218,0.02631041,0.02388368,0.0002268789,0.01037819,0.003026025,0.5171718],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09538335,"threshold_uncertainty_score":0.1896563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01621940433770368,"score_gpt":0.2184137830325552,"score_spread":0.2021943786948515,"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."}}