{"id":"W4229516452","doi":"10.4018/978-1-60960-818-7.ch804","title":"Pattern Discovery as Event Association","year":2011,"lang":"en","type":"book-chapter","venue":"Machine Learning","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pattern Discovery Technologies (Canada); University of Waterloo","funders":"","keywords":"Event (particle physics); Association (psychology); Task (project management); Binary number; Mathematics; Computer science; Artificial intelligence; Algorithm; Combinatorics; Discrete mathematics; Arithmetic; Psychology; Physics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004285406,0.0002725048,0.0002517662,0.000155963,0.0001388023,0.0004394505,0.0008862097,0.0001409835,0.0004415338],"category_scores_gemma":[0.00004348044,0.0002620447,0.0001464428,0.00003528802,0.000009777906,0.000786626,0.0009398203,0.0005940995,0.001493375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001294184,"about_ca_system_score_gemma":0.00002286117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001893305,"about_ca_topic_score_gemma":0.00002851945,"domain_scores_codex":[0.998474,0.0000408737,0.000253422,0.000500502,0.0004675197,0.0002636894],"domain_scores_gemma":[0.9989607,0.00005344053,0.0004315214,0.0004671605,0.00003356448,0.00005355361],"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":[0.000003216766,0.00002995858,0.002982541,0.00005315784,0.0002397533,0.0001262827,0.0003433008,0.00007815682,0.000002996291,0.2275087,0.005990798,0.7626411],"study_design_scores_gemma":[0.0002056844,0.000106648,0.0004717639,0.0001112055,0.0000452735,0.000003779765,0.000001731526,0.01146316,0.000006221677,0.0191623,0.9679385,0.00048374],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001440938,0.0002599073,0.3365298,0.0004915396,0.0007300525,0.0001426792,0.00001395788,0.0002605595,0.6615571],"genre_scores_gemma":[0.005673633,0.0001774801,0.0006224104,0.0003846508,0.0002801806,0.000005169989,0.000230852,0.00004055862,0.9925851],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9619477,"threshold_uncertainty_score":0.9999832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01252906612751613,"score_gpt":0.2193140326999921,"score_spread":0.206784966572476,"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."}}