{"id":"W2069116068","doi":"10.1145/507515.507523","title":"KDD Cup 2001 report","year":2002,"lang":"en","type":"article","venue":"ACM SIGKDD Explorations Newsletter","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":110,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Imperial Bank of Commerce (Canada)","funders":"National Science Foundation","keywords":"Computer science; Artificial intelligence","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":[0.01427799,0.004349593,0.003919384,0.01407465,0.003423423,0.01518375,0.007351962,0.005119074,0.06238117],"category_scores_gemma":[0.04080032,0.001366317,0.002700991,0.01372903,0.0007897636,0.009432475,0.005072314,0.004595072,0.1541951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004508577,"about_ca_system_score_gemma":0.01078803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02085322,"about_ca_topic_score_gemma":0.01241318,"domain_scores_codex":[0.9832467,0.002093966,0.001680836,0.001879014,0.01016904,0.0009303888],"domain_scores_gemma":[0.9593453,0.003876726,0.001049142,0.007337234,0.02550213,0.002889462],"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":[0.00004626579,0.00004531195,0.0003155106,0.000190382,0.00002777871,0.00002789148,0.000009346163,0.000566337,0.00005136554,0.001528973,0.9649695,0.03222144],"study_design_scores_gemma":[0.00008870962,0.00003425711,0.001162278,0.0001766385,0.00004481963,0.0001362808,0.0000494795,0.004788816,0.0007265691,0.004626045,0.9881252,0.00004091719],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0058059,0.03123854,0.07683369,0.04617757,0.02568327,0.002634465,0.5110664,0.06140276,0.2391573],"genre_scores_gemma":[0.01152322,0.01119728,0.0411831,0.003767368,0.002392936,0.001354031,0.8502707,0.002889219,0.07542215],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06238117,"threshold_uncertainty_score":0.2086858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03648866402031892,"score_gpt":0.2723488489952492,"score_spread":0.2358601849749303,"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."}}