{"id":"W2620916462","doi":"","title":"(Re)découvrir Falardeau / Un très mauvais ami, Pierre Falardeau, Lettres traduites et présentées par Jean-François Nadeau, Montréal : Lux Éditeur, 2011, 272 pages","year":2012,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Art","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":[0.001749715,0.001444707,0.0008634931,0.003163933,0.004527834,0.00670777,0.001505905,0.002838121,0.01519937],"category_scores_gemma":[0.00375282,0.0004180996,0.0004304771,0.003025359,0.003760346,0.006192635,0.001927049,0.003532775,0.006418285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006682544,"about_ca_system_score_gemma":0.007110295,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2645089,"about_ca_topic_score_gemma":0.4046693,"domain_scores_codex":[0.9986461,0.0004282841,0.00005179998,0.0002792863,0.0004591042,0.0001355026],"domain_scores_gemma":[0.9986476,0.0003619638,0.00007083159,0.0000589907,0.0006999209,0.000160757],"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":[0.00003665444,0.0000148777,0.0004025814,0.0004092319,0.00001504612,0.0001063491,0.003916119,0.00007168458,0.0004209263,0.0243732,0.9067367,0.06349673],"study_design_scores_gemma":[0.000005571148,0.00000377909,0.001312256,0.0002424976,0.000006886558,0.0001209421,0.001554333,0.0000557861,0.0003310853,0.001624089,0.9947283,0.00001460832],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003654214,0.6339663,0.0064546,0.2180752,0.06668158,0.00004695675,0.0007722279,0.0004725828,0.06987637],"genre_scores_gemma":[0.09261955,0.292243,0.01045168,0.04418851,0.04665524,0.0001880783,0.00114727,0.001655063,0.5108516],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.735491,"threshold_uncertainty_score":0.5259386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01208200389387178,"score_gpt":0.1917699885595596,"score_spread":0.1796879846656878,"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."}}