{"id":"W6976563761","doi":"10.60692/y4znf-a9281","title":"Machine Learning and Knowledge Discovery in Databases","year":2020,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Alberta; Dalhousie University","funders":"","keywords":"Publication; Knowledge extraction; Analytics; Set (abstract data type); Training set","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0194017,0.0008649135,0.002054491,0.003942634,0.001335925,0.008730053,0.002583962,0.002934222,0.01629803],"category_scores_gemma":[0.01728348,0.0009295617,0.001629449,0.007197205,0.002767654,0.008688031,0.005648517,0.005695437,0.007785408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003151817,"about_ca_system_score_gemma":0.003673251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009011753,"about_ca_topic_score_gemma":0.001011187,"domain_scores_codex":[0.9861351,0.005793382,0.0009476682,0.002463516,0.003980198,0.0006801797],"domain_scores_gemma":[0.9841018,0.01021666,0.0004560217,0.002003183,0.0020828,0.001139498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001717367,0.0001948959,0.001122975,0.001709365,0.0002040957,0.0001963882,0.0006763806,0.003636028,0.002100257,0.1818111,0.2023017,0.6058753],"study_design_scores_gemma":[0.00003869704,0.0001315054,0.001157536,0.0007943861,0.00005015071,0.0003275055,0.0003947105,0.01297075,0.002101996,0.213851,0.7681257,0.00005615065],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01332986,0.2401924,0.5343326,0.08298692,0.01710884,0.0008175579,0.002925011,0.002578858,0.1057279],"genre_scores_gemma":[0.1750335,0.1456392,0.4759372,0.01662616,0.01678217,0.001291755,0.01109612,0.001232655,0.1563612],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0194017,"threshold_uncertainty_score":0.1026072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04763776876880155,"score_gpt":0.2415651728606925,"score_spread":0.1939274040918909,"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."}}