{"id":"W1964856813","doi":"10.1145/1982185.1982209","title":"Classifying microarray data with association rules","year":2011,"lang":"en","type":"article","venue":"","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Association rule learning; Computer science; Associative property; Classifier (UML); Data mining; Artificial intelligence; Microarray analysis techniques; Support vector machine; Machine learning; Pattern recognition (psychology); Feature (linguistics); Mathematics","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":[0.006517798,0.0009920147,0.001897143,0.00732721,0.0008899791,0.003345218,0.001575148,0.001437403,0.001489086],"category_scores_gemma":[0.02409333,0.0004844269,0.001743617,0.005722539,0.00113832,0.003489615,0.001163267,0.001692733,0.0015749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004947124,"about_ca_system_score_gemma":0.001015731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009636479,"about_ca_topic_score_gemma":0.0007259265,"domain_scores_codex":[0.9903565,0.001949296,0.001715042,0.001827136,0.003821822,0.0003301795],"domain_scores_gemma":[0.979404,0.01448247,0.001892648,0.001938404,0.002097441,0.0001848915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003920454,0.0005477907,0.02504155,0.0008259016,0.000509816,0.0008806321,0.0005025175,0.07629837,0.01597042,0.02082437,0.004509449,0.8536971],"study_design_scores_gemma":[0.00006756132,0.0003804261,0.008291652,0.0002804851,0.0003224769,0.001787609,0.0003571209,0.8410583,0.02460764,0.1038598,0.01884517,0.0001418374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02205312,0.0006260054,0.9737653,0.0003453331,0.0001249686,0.0002578205,0.0004948161,0.001138605,0.001194064],"genre_scores_gemma":[0.1923246,0.001023855,0.8006462,0.0003897375,0.0003609602,0.0007529541,0.002811941,0.000104295,0.001585362],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00732721,"threshold_uncertainty_score":0.03446984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05606819587348594,"score_gpt":0.2659678905316183,"score_spread":0.2098996946581324,"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."}}