{"id":"W6983132081","doi":"","title":"Les diplômés ; no 433, automne 2017","year":2013,"lang":"ca","type":"other","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eli Lilly Canada; Université de Montréal; Cancer Research Society; AstraZeneca Canada; Royal Canin; Novartis Pharma; Zoetis; Facebook; Silicon Valley Community Foundation; Sanofi; GlaxoSmithKline; AstraZeneca; Eli Lilly and Company; Intel Corporation","keywords":"Reproduction; Order (exchange); Field (mathematics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00161203,0.0005983798,0.000395234,0.002368843,0.002841787,0.007125621,0.0008082172,0.001534253,0.3947913],"category_scores_gemma":[0.005472097,0.0003955437,0.0003783002,0.002670164,0.0009198792,0.001881288,0.002056222,0.002242586,0.1413758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003631403,"about_ca_system_score_gemma":0.007432255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06169605,"about_ca_topic_score_gemma":0.103429,"domain_scores_codex":[0.9983141,0.0001500407,0.00007824021,0.000182285,0.001010286,0.0002651056],"domain_scores_gemma":[0.9977165,0.0004507543,0.0001347869,0.0002518469,0.0009114788,0.0005346091],"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":[0.0001253404,0.00004617912,0.0008391314,0.0001260633,0.000004322264,0.0001253727,0.0003507183,0.0000819587,0.0003959837,0.02249393,0.9183774,0.05703353],"study_design_scores_gemma":[0.000009129966,0.000006989361,0.001090013,0.00005287137,9.025263e-7,0.00001935211,0.0000884756,0.00003319322,0.0001933893,0.0003672511,0.9981345,0.000003778296],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00478022,0.005256585,0.001083794,0.009945888,0.01050621,0.0002478856,0.0105767,0.001071114,0.9565316],"genre_scores_gemma":[0.005504708,0.0009933211,0.0003123055,0.0004205553,0.0004609433,0.00006456902,0.001077168,0.0003339463,0.9908325],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3947913,"threshold_uncertainty_score":0.8632568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.038793090627623,"score_gpt":0.2078400426597213,"score_spread":0.1690469520320983,"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."}}