{"id":"W2074837969","doi":"10.1145/1992896.1992902","title":"Fastest association rule mining algorithm predictor (FARM-AP)","year":2011,"lang":"en","type":"article","venue":"","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Association rule learning; Computer science; Implementation; Partition (number theory); Data mining; Block (permutation group theory); Field (mathematics); Partition problem; Algorithm design; Algorithm; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002775657,0.0001043997,0.0001055998,0.00005934168,0.000136993,0.0001354174,0.0005763398,0.00006338047,0.000113915],"category_scores_gemma":[0.00003627806,0.000096277,0.00003882462,0.0003056799,0.00001415522,0.0004357836,0.0002258746,0.00008068136,0.0002838877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006043432,"about_ca_system_score_gemma":0.00004278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001183497,"about_ca_topic_score_gemma":0.00001010996,"domain_scores_codex":[0.998934,0.00002207812,0.0001978717,0.0003349304,0.0002449543,0.0002661824],"domain_scores_gemma":[0.9991611,0.0000625141,0.0001146673,0.0004714519,0.0000895126,0.0001007631],"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":[6.122796e-7,0.0001942754,0.005313088,0.000003077514,0.00003861934,0.00000680629,0.002197458,9.751213e-7,0.000146442,0.02080256,0.0160046,0.9552915],"study_design_scores_gemma":[0.0009548562,0.0002353629,0.0908763,0.0000305681,0.00004036257,0.00003738085,0.0005246738,0.8085617,0.00544103,0.005579358,0.08686975,0.0008486777],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003974,0.0000172503,0.9518491,0.0002653945,0.0003328521,0.0001072276,0.00003612061,0.0004466247,0.04297145],"genre_scores_gemma":[0.01145145,0.000005234364,0.9817613,0.0002702777,0.0001370649,0.00004663497,0.00002757525,0.00001029434,0.006290196],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9544428,"threshold_uncertainty_score":0.3926062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02382052414332731,"score_gpt":0.229395070285508,"score_spread":0.2055745461421807,"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."}}