{"id":"W2955134940","doi":"10.3390/stats2030024","title":"Confidence Sets for Statistical Classification","year":2019,"lang":"en","type":"article","venue":"Stats","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University","funders":"","keywords":"Estimator; Classifier (UML); Computer science; Artificial intelligence; Statistical inference; Inference; Classification rule; Machine learning; Pattern recognition (psychology); Data mining; Object (grammar); Mathematics; Statistics","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":[0.04994602,0.002902199,0.004324793,0.01073698,0.002076643,0.008274086,0.006081619,0.005428387,0.007248644],"category_scores_gemma":[0.1834746,0.001516541,0.00412057,0.006061689,0.008513883,0.008175098,0.005664853,0.01308601,0.002404196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004023992,"about_ca_system_score_gemma":0.002381767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003438759,"about_ca_topic_score_gemma":0.001117892,"domain_scores_codex":[0.9594839,0.02253237,0.002602729,0.005138328,0.009212459,0.001030242],"domain_scores_gemma":[0.7078077,0.257742,0.009118611,0.01326577,0.01059489,0.001471005],"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":[0.00007470088,0.00004776645,0.001425543,0.0003862983,0.0002378102,0.0001689371,0.000259095,0.06500292,0.0002004645,0.8675941,0.004821571,0.05978086],"study_design_scores_gemma":[0.00002555254,0.00004149208,0.0003705515,0.00020075,0.00003986264,0.0001489781,0.00004140674,0.2333437,0.0002204527,0.7589207,0.006591692,0.00005485674],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001495306,0.002572834,0.9914408,0.0009096895,0.0002279916,0.00007399843,0.0002867926,0.0002394638,0.002753164],"genre_scores_gemma":[0.2506159,0.008090379,0.7238064,0.001973481,0.004545156,0.002386742,0.002301892,0.0005366546,0.005743471],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04994602,"threshold_uncertainty_score":0.264143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.272529505767471,"score_gpt":0.5125858415768718,"score_spread":0.2400563358094008,"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."}}