{"id":"W6983087485","doi":"","title":"Les diplômés ; no 434, printemps 2018","year":2012,"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; Royal Canin; Cancer Research Society; AstraZeneca Canada; Max Bell Foundation; 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":["insufficient_payload"],"category_scores_codex":[0.001106345,0.000693203,0.0004792351,0.002366726,0.002303748,0.007184779,0.0008464649,0.001569015,0.5990068],"category_scores_gemma":[0.006052227,0.0004403162,0.000428118,0.002554786,0.0007797126,0.001945948,0.00193543,0.002516237,0.3631009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002557217,"about_ca_system_score_gemma":0.003309147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02529211,"about_ca_topic_score_gemma":0.04800262,"domain_scores_codex":[0.9985098,0.0001351411,0.00008455617,0.0001532545,0.0008711586,0.0002460928],"domain_scores_gemma":[0.9977258,0.0005052403,0.0001179707,0.0003319104,0.0009296779,0.0003894423],"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":[0.00008940958,0.00005424734,0.0006120615,0.000132466,0.000004114017,0.0001055502,0.000167943,0.00005123843,0.0003437327,0.01187846,0.9190223,0.06753857],"study_design_scores_gemma":[0.00000889925,0.000007248208,0.0009831488,0.00006765554,9.155401e-7,0.00003101821,0.00006930468,0.00002746293,0.0001634721,0.0002785172,0.9983589,0.000003514243],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00251854,0.003323786,0.0006149442,0.005894651,0.008266184,0.0001662804,0.00644946,0.0009100571,0.971856],"genre_scores_gemma":[0.003474787,0.0009573058,0.0002281267,0.0005215877,0.0004579994,0.00005540783,0.0009595566,0.0002777407,0.9930674],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4009932,"threshold_uncertainty_score":0.5719681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04267808796538473,"score_gpt":0.2079329879398501,"score_spread":0.1652548999744654,"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."}}