{"id":"W2158668414","doi":"10.1007/3-540-45244-3_10","title":"Data Mining with Calendar Attributes","year":2001,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Generalization; Probabilistic logic; Granularity; Data mining; Graph; Theoretical computer science; Probability distribution; Domain (mathematical analysis); Set (abstract data type); Artificial intelligence; Mathematics; Statistics; Programming language","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":[0.00143947,0.0004817292,0.0007200488,0.00220139,0.0006746729,0.0023373,0.001148101,0.000368574,0.005175346],"category_scores_gemma":[0.006423095,0.0004232503,0.001118688,0.00568777,0.000298007,0.002724478,0.001412022,0.0008153917,0.003380079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002968088,"about_ca_system_score_gemma":0.0008846717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008953277,"about_ca_topic_score_gemma":0.001384977,"domain_scores_codex":[0.999083,0.0001579099,0.0001379588,0.0002692838,0.0003035741,0.00004823105],"domain_scores_gemma":[0.9979447,0.0007412484,0.0001779466,0.0007986335,0.0002256202,0.0001117749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000404226,0.0001661398,0.01212981,0.0004778213,0.0001577224,0.0002230096,0.0001732925,0.01003535,0.003417208,0.02716664,0.03423586,0.9114129],"study_design_scores_gemma":[0.0001167475,0.0003289935,0.01052983,0.0002907592,0.0002745048,0.002097808,0.000488529,0.4166314,0.02470377,0.2520331,0.2924168,0.00008771333],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03356081,0.003246861,0.9288891,0.001022217,0.0006920545,0.0002946821,0.008837292,0.008295069,0.01516192],"genre_scores_gemma":[0.2708427,0.002822659,0.6939508,0.0003535252,0.0005429971,0.0002607955,0.01479336,0.0003823168,0.01605078],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005175346,"threshold_uncertainty_score":0.0173133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04583010219759381,"score_gpt":0.2613853523820663,"score_spread":0.2155552501844725,"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."}}