{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001616701,0.0001813945,0.0001263133,0.00006850316,0.0001618763,0.00006956306,0.0003778904,0.0001424874,0.0008425448],"category_scores_gemma":[0.0007396833,0.0001742422,0.00009063919,0.0001494745,0.00006699174,0.00002338724,0.0002032578,0.0001780216,0.0009980784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001452035,"about_ca_system_score_gemma":0.00001779696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009239325,"about_ca_topic_score_gemma":0.00001354434,"domain_scores_codex":[0.9988,0.00005226003,0.0003749913,0.0002807268,0.000185376,0.0003065941],"domain_scores_gemma":[0.9983925,0.00002402311,0.0001412375,0.001262724,0.00008701246,0.00009253453],"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":[0.000005581297,0.00005974116,0.004385849,0.00000917409,0.00003892383,0.0000332745,0.0002333277,0.0003191782,0.03570089,0.00006012698,0.9573221,0.001831859],"study_design_scores_gemma":[0.000342795,0.00009709546,0.0007456791,0.000007566597,0.00002035222,0.000221526,0.00006188864,0.001610284,0.01148792,0.0001074671,0.984975,0.0003224004],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7355424,0.0005940037,0.07506728,0.08697352,0.001600189,0.001088335,0.00004132806,0.0003766677,0.09871628],"genre_scores_gemma":[0.8407871,0.0002831094,0.07345465,0.03020592,0.002573693,0.0002461803,0.001464755,0.0001303525,0.05085421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1052447,"threshold_uncertainty_score":0.9997798,"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."}}