{"id":"W7071084054","doi":"","title":"/R E P E A T -- Advisory - Third Quarter 2018 Results Conference Call/ - TSX (TSXTSX01) News","year":2018,"lang":"en","type":"other","venue":"","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Term (time); Advisory committee","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001978777,0.0004850285,0.0003683567,0.0001216742,0.00005784831,0.00007006631,0.0005962044,0.0009614161,0.002660125],"category_scores_gemma":[0.0002105992,0.0004018933,0.0001531326,0.00006748282,0.0002376312,0.000002989959,0.0002584867,0.0002760616,0.002981769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001483598,"about_ca_system_score_gemma":0.0001646672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000420632,"about_ca_topic_score_gemma":0.00123403,"domain_scores_codex":[0.998143,0.00009331389,0.0004962073,0.0005746512,0.0002606364,0.000432249],"domain_scores_gemma":[0.9981003,0.00001836108,0.0004163515,0.001222548,0.00008581434,0.0001566676],"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":[0.00007331061,0.00003237052,0.0001150626,0.00007673277,0.0000973408,0.00000232274,0.00006015749,9.205347e-7,0.0004437076,0.00008782263,0.9985072,0.0005030645],"study_design_scores_gemma":[0.0007377075,0.0004659921,0.0000475021,0.0001001154,0.00002917298,0.00001284207,0.0000464207,0.0001725428,0.0004713717,0.00002103419,0.9973453,0.0005499492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00009131509,0.0001667849,0.004023994,0.0004104016,0.0005673515,0.0003449831,0.0001302789,0.0001521994,0.9941127],"genre_scores_gemma":[0.0006110065,0.0003135685,0.009523361,0.001522053,0.001385645,0.00002060865,0.001094631,0.0002608129,0.9852683],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.008844377,"threshold_uncertainty_score":0.9998433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01063128339776369,"score_gpt":0.2578588054848205,"score_spread":0.2472275220870569,"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."}}