{"id":"W7154625270","doi":"10.66573/001c.137029","title":"Linear Classifier Models for Binary Classification","year":2025,"lang":"en","type":"article","venue":"Variance","topic":"Imbalanced Data Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Weighting; Classifier (UML); Binary classification; Pattern recognition (psychology); Linear classifier; Parametric statistics; Logistic regression; Binary number; A-weighting","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01231883,0.001732292,0.001944428,0.002664427,0.0008320744,0.002893236,0.004644301,0.002676437,0.006480494],"category_scores_gemma":[0.03662146,0.0008052195,0.00175625,0.003567636,0.001801302,0.004774751,0.001918372,0.006265181,0.004624024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002426055,"about_ca_system_score_gemma":0.001506235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003399873,"about_ca_topic_score_gemma":0.002887193,"domain_scores_codex":[0.9912986,0.004142049,0.0003663454,0.001293315,0.002457952,0.0004417397],"domain_scores_gemma":[0.9756586,0.01779721,0.001360673,0.0018566,0.003040225,0.0002866419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002202857,0.0002478005,0.002655689,0.0005227838,0.0002698369,0.0002149773,0.0003306253,0.3748991,0.001342743,0.3985584,0.01845187,0.2022859],"study_design_scores_gemma":[0.00001901161,0.00005478653,0.0002068026,0.00003822459,0.00002008283,0.00005712958,0.00001661556,0.8771487,0.0002964529,0.1178569,0.00426772,0.00001758218],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002154082,0.001099885,0.9935736,0.0006207889,0.0001251831,0.00008853474,0.0001673271,0.0003056047,0.001864941],"genre_scores_gemma":[0.2634199,0.003798261,0.706607,0.001465374,0.00165979,0.001817512,0.001626794,0.0004169511,0.0191884],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01231883,"threshold_uncertainty_score":0.06514901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05282643759995619,"score_gpt":0.3130133274218485,"score_spread":0.2601868898218923,"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."}}