{"id":"W4254827090","doi":"10.1002/9781119302872.ch4","title":"EVALUATING PATTERN RECOGNITION PROBLEM","year":2018,"lang":"en","type":"other","venue":"Pattern Recognition","topic":"Imbalanced Data Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Pattern recognition (psychology); Confusion matrix; Computer science; Confusion; Artificial intelligence; Quality (philosophy); Maximization; Machine learning; Data mining; Mathematics; Psychology","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":[0.00941882,0.001827318,0.00250191,0.003179776,0.0008955917,0.005225487,0.001961018,0.002262617,0.005082293],"category_scores_gemma":[0.04798706,0.0002879688,0.001036763,0.00232161,0.001337025,0.004570648,0.001820047,0.001653168,0.002342168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001141501,"about_ca_system_score_gemma":0.001377617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008682986,"about_ca_topic_score_gemma":0.0004880232,"domain_scores_codex":[0.9859424,0.004787374,0.001578299,0.002129363,0.005143917,0.0004185232],"domain_scores_gemma":[0.9721611,0.01885102,0.001519195,0.002113545,0.004942734,0.0004123953],"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":[0.0004203259,0.0004309004,0.007878485,0.001192239,0.0002734835,0.0002050365,0.0002001025,0.07731957,0.007127983,0.01891596,0.01016754,0.8758683],"study_design_scores_gemma":[0.00007444943,0.0008752461,0.005420774,0.0003299168,0.0001577174,0.0007673147,0.0006918503,0.8805497,0.0170437,0.07411182,0.01990566,0.00007185835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05130596,0.00390042,0.9296177,0.001801694,0.0004301303,0.0007620933,0.0008748808,0.001278991,0.01002818],"genre_scores_gemma":[0.3034116,0.002337195,0.6837282,0.0004877915,0.0005386008,0.0007635271,0.003242112,0.0002220476,0.005269068],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00941882,"threshold_uncertainty_score":0.04981208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1065018924511191,"score_gpt":0.3387064861434672,"score_spread":0.2322045936923481,"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."}}