{"id":"W7002372562","doi":"","title":"Monique Durand, Saint-Laurent mon amour, Montréal, Mémoire d’encrier, 2017, 160 pages","year":2019,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Subject (documents); Focus (optics); Face (sociological concept); Set (abstract data type)","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":[0.002170116,0.001731019,0.001417324,0.003396536,0.001383136,0.004068246,0.001255877,0.001297227,0.1438961],"category_scores_gemma":[0.007544552,0.0004841568,0.0005783678,0.002809496,0.001141299,0.002530043,0.001515295,0.001711892,0.05706047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003651487,"about_ca_system_score_gemma":0.005477687,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1251998,"about_ca_topic_score_gemma":0.1750141,"domain_scores_codex":[0.9988647,0.0001967919,0.00003604389,0.0002580707,0.0005619816,0.00008241249],"domain_scores_gemma":[0.9968939,0.0007132381,0.000106925,0.0001721972,0.001762938,0.000350698],"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":[0.00003408799,0.00001416704,0.0002153955,0.000277114,0.00001621044,0.00004216634,0.0001103695,0.0002256981,0.0003567259,0.002190193,0.9328945,0.06362333],"study_design_scores_gemma":[0.000009904317,0.000008307026,0.0009065275,0.0002764685,0.00001466467,0.0001041726,0.0001906068,0.0004048974,0.0003867944,0.001312268,0.996363,0.00002251972],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.003018246,0.5986357,0.03764821,0.1229889,0.1507804,0.000137858,0.007600744,0.006398025,0.07279194],"genre_scores_gemma":[0.01784846,0.2651955,0.01038002,0.009797039,0.03938871,0.000151866,0.005680949,0.004164156,0.6473932],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8748002,"threshold_uncertainty_score":0.4813803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00865280669392594,"score_gpt":0.1769697928878347,"score_spread":0.1683169861939088,"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."}}