{"id":"W2166375963","doi":"10.1109/coginf.2002.1039301","title":"Scientific curve classification by combining simple algorithms","year":2003,"lang":"en","type":"article","venue":"","topic":"Statistical and numerical algorithms","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Classifier (UML); Computer science; Statistical classification; Algorithm; Data mining; Machine learning; Variety (cybernetics); Artificial intelligence; Simple (philosophy); Pattern recognition (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":[0.01239816,0.002896339,0.004504947,0.01589431,0.001406291,0.006678358,0.003707207,0.003897478,0.004875457],"category_scores_gemma":[0.04849884,0.001313297,0.003373687,0.01088997,0.001664161,0.006587094,0.004175688,0.00306822,0.005094682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001037623,"about_ca_system_score_gemma":0.001601563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001184432,"about_ca_topic_score_gemma":0.0009384213,"domain_scores_codex":[0.9886514,0.003107422,0.001340446,0.002028551,0.004421066,0.0004511701],"domain_scores_gemma":[0.9806528,0.008338557,0.001805715,0.003189834,0.005474259,0.0005389689],"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":[0.0001537751,0.000152997,0.002963176,0.0003097644,0.0002126382,0.00006652547,0.0001334645,0.06765385,0.002756651,0.01224351,0.003803039,0.9095506],"study_design_scores_gemma":[0.00004678545,0.0002756844,0.002145776,0.0001577384,0.0001517066,0.0003406703,0.000128691,0.8932581,0.00333708,0.08733556,0.01270933,0.0001128771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003924212,0.0004554228,0.9929167,0.0001558128,0.00009241531,0.0001946015,0.00007004532,0.001133235,0.001057567],"genre_scores_gemma":[0.05872738,0.0008192586,0.9369448,0.000121155,0.0003078984,0.0003937013,0.0005707825,0.0002782102,0.001836903],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01589431,"threshold_uncertainty_score":0.06556851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0862485097974272,"score_gpt":0.3423160850643746,"score_spread":0.2560675752669473,"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."}}