{"id":"W4407052408","doi":"10.1002/cjs.11837","title":"The quantile‐based classifier with variable‐wise parameters","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Quantile; Classifier (UML); Artificial intelligence; Variable (mathematics); Computer science; Pattern recognition (psychology); Statistics; Econometrics; Machine learning; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000232787,0.00006999906,0.000095821,0.0001430456,0.0002596805,0.0002720855,0.0004281516,0.00003263523,0.00001413478],"category_scores_gemma":[0.0001689367,0.00004387603,0.00002035339,0.0002704636,0.00008983988,0.0001260228,0.000008108412,0.0001732143,0.000006293598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006056392,"about_ca_system_score_gemma":0.002331541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005845556,"about_ca_topic_score_gemma":0.004313357,"domain_scores_codex":[0.9993119,0.00005257775,0.0002081937,0.00008011368,0.0001395103,0.0002076592],"domain_scores_gemma":[0.9987848,0.0003684387,0.0001326855,0.0001837338,0.0002880587,0.0002422697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006995246,0.00003016984,0.003095713,0.00004826145,0.0001385979,0.0006215452,0.0003585002,0.0038156,0.0001345134,0.3530335,0.5093921,0.1292615],"study_design_scores_gemma":[0.002897126,0.0008793711,0.01000207,0.001327492,0.0001797547,0.0001733825,0.0007015708,0.1969367,0.001998129,0.11812,0.6661087,0.0006757291],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001467697,0.0001119665,0.994608,0.001973698,0.0006094352,0.00004892405,0.00003897366,0.000004472281,0.001136862],"genre_scores_gemma":[0.363229,0.00003575446,0.632825,0.003004981,0.00003871796,0.00000460168,0.000005202186,0.00001060638,0.0008461244],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.361783,"threshold_uncertainty_score":0.4136053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01818638628505343,"score_gpt":0.226324695415553,"score_spread":0.2081383091304996,"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."}}