{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002868368,0.00009262803,0.0001802096,0.00002073587,0.00004206442,0.00001569003,0.00008201902,0.0000453624,0.0002186903],"category_scores_gemma":[0.001119303,0.00008080434,0.00002763003,0.00003849661,0.00004896831,0.00006913222,0.00001655194,0.00007373229,0.00007896712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002748827,"about_ca_system_score_gemma":0.00003483814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002142038,"about_ca_topic_score_gemma":0.000002527821,"domain_scores_codex":[0.9991304,0.00004958475,0.0002130717,0.0002398515,0.0001472897,0.000219772],"domain_scores_gemma":[0.9968954,0.002632946,0.00006997228,0.0002253875,0.00009763772,0.0000786125],"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":[0.00004576558,0.00002680893,0.00001515323,0.0001015648,0.00000649672,9.250008e-7,0.00008250562,0.00000276302,0.001293022,0.9784142,0.00200458,0.01800625],"study_design_scores_gemma":[0.0003486288,0.0000988264,0.000311562,0.00001898604,0.00001420963,0.000001536708,0.00009060613,0.01205086,0.0003618135,0.9826199,0.003969604,0.0001134552],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003667864,0.00001012594,0.9917427,0.0001270432,0.000179179,0.00056183,0.0003428562,0.00005052699,0.003317853],"genre_scores_gemma":[0.188583,0.000004060638,0.8102093,0.0000884291,0.00002233061,0.00005578359,0.00002409195,0.00001884497,0.0009941657],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1849152,"threshold_uncertainty_score":0.3295105,"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."}}