{"id":"W7005572786","doi":"","title":"Ravel lecteur de Mallarmé","year":2001,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"ESPACE; Object (grammar); Verisimilitude","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":[0.0009517628,0.001134226,0.0005295989,0.001350238,0.002304646,0.003883821,0.0009268593,0.001908262,0.2290355],"category_scores_gemma":[0.002671168,0.0004008269,0.0004563266,0.0005337613,0.001249191,0.003187702,0.002565257,0.002720946,0.1120551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001850474,"about_ca_system_score_gemma":0.001533578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004848864,"about_ca_topic_score_gemma":0.007128853,"domain_scores_codex":[0.9990766,0.0001349072,0.00003600378,0.0002621366,0.0004126214,0.0000777279],"domain_scores_gemma":[0.9990457,0.0002378675,0.00006069713,0.00008640512,0.0003697354,0.0001994819],"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":[0.0003153235,0.00005569217,0.000746795,0.0004454934,0.00001730591,0.0006096125,0.002730143,0.000545704,0.01044784,0.1191931,0.5705357,0.2943574],"study_design_scores_gemma":[0.000004086562,0.00003011902,0.0002570264,0.00006310541,0.00000231494,0.000233305,0.0002225606,0.0001603385,0.001274729,0.002107141,0.9956331,0.00001213442],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008961701,0.02272826,0.02167825,0.02030594,0.02036093,0.00009550135,0.0007860872,0.003220554,0.9018627],"genre_scores_gemma":[0.01564553,0.002493224,0.002651734,0.0008883026,0.0008936293,0.00002625523,0.0001331132,0.0005352557,0.9767329],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2290355,"threshold_uncertainty_score":0.7662002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006008468035748376,"score_gpt":0.123279158695478,"score_spread":0.1172706906597296,"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."}}