{"id":"W4392845515","doi":"10.1145/3625007.3627497","title":"CFAR++: Enhancing Rule Based Classifier","year":2023,"lang":"en","type":"article","venue":"","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Artificial intelligence; Classifier (UML); Pattern recognition (psychology); Rule-based system; Data mining","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":[0.003041423,0.001213383,0.00162916,0.002743225,0.0006335308,0.001718743,0.003381775,0.001639932,0.003261697],"category_scores_gemma":[0.01047488,0.0005118669,0.001198973,0.002903362,0.0004120815,0.002845958,0.001425207,0.002188189,0.004618408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004961996,"about_ca_system_score_gemma":0.001504137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00551592,"about_ca_topic_score_gemma":0.007846183,"domain_scores_codex":[0.9971321,0.0004623707,0.0002105918,0.0005460339,0.001488557,0.0001603409],"domain_scores_gemma":[0.9939978,0.002156152,0.0003478618,0.001248165,0.002085644,0.0001643944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002150118,0.0004021928,0.005027837,0.000201394,0.0001480751,0.0002466837,0.0000932266,0.05740472,0.005520358,0.004068045,0.02617735,0.9004951],"study_design_scores_gemma":[0.00004300524,0.0002091219,0.001134882,0.00005164621,0.00009257807,0.0004601742,0.00003238688,0.9618669,0.00736704,0.007772241,0.02092821,0.00004191134],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03412556,0.001976046,0.9352177,0.0006700205,0.0005144065,0.0003179277,0.001606491,0.01858694,0.006984927],"genre_scores_gemma":[0.1859709,0.001215257,0.7985619,0.0009610999,0.000398031,0.0003502711,0.004244176,0.0005735075,0.007724831],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00551592,"threshold_uncertainty_score":0.01608473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02711790890625774,"score_gpt":0.2707455851698921,"score_spread":0.2436276762636344,"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."}}