{"id":"W7027255197","doi":"","title":"CHA annual conference, University of Montreal","year":2020,"lang":"en","type":"article","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Agency (philosophy); Perspective (graphical)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001853232,0.00138169,0.0007393084,0.002279737,0.003208649,0.007513901,0.002341918,0.002630857,0.4520956],"category_scores_gemma":[0.002159889,0.0005499431,0.000714337,0.002599104,0.0008330782,0.001729164,0.00289426,0.001584058,0.1834232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007904617,"about_ca_system_score_gemma":0.01981044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.31326,"about_ca_topic_score_gemma":0.5840036,"domain_scores_codex":[0.9985984,0.0001108726,0.00003754262,0.0001806742,0.0007337983,0.0003387719],"domain_scores_gemma":[0.9984025,0.00005817313,0.0000445091,0.0001051051,0.0007647351,0.0006250411],"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":[0.00002343918,0.00001642927,0.0001749044,0.00004681226,0.000002909295,0.00002977005,0.00002705369,0.00004103692,0.00009435914,0.00180261,0.9739892,0.02375146],"study_design_scores_gemma":[0.000006312112,0.000005241521,0.0007456001,0.00004599218,0.000002086258,0.00001528151,0.00005717813,0.00002378022,0.0000422468,0.0002048606,0.9988472,0.000004156393],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002185093,0.03409839,0.001178995,0.03988952,0.03209502,0.0002685573,0.01635613,0.001103591,0.8728247],"genre_scores_gemma":[0.003363558,0.004302524,0.000497596,0.0008411197,0.001169964,0.00005701554,0.002898534,0.0001663935,0.9867032],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4520956,"threshold_uncertainty_score":0.7815192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01519485075393122,"score_gpt":0.2285825382890488,"score_spread":0.2133876875351176,"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."}}