{"id":"W4416100331","doi":"10.1097/ajp.0000000000001339","title":"Item Reduction and Scoring of the Pediatric PainSCAN©","year":2025,"lang":"en","type":"article","venue":"Clinical Journal of Pain","topic":"Health Education and Validation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; University Health Network; University of Toronto; SickKids Foundation; Hospital for Sick Children; Public Health Ontario","funders":"","keywords":"Set (abstract data type); Cutoff; Measure (data warehouse); Reduction (mathematics); Selection (genetic algorithm)","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":[0.01193598,0.00002299234,0.00009609445,0.00007155925,0.0001366194,0.00001376124,0.00009935077,0.00005402642,0.000023116],"category_scores_gemma":[0.00761564,0.00001616786,0.00006685474,0.0003402913,0.00009769149,0.00006572534,0.0000106272,0.0001612379,5.523935e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003154586,"about_ca_system_score_gemma":0.0005613964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004057901,"about_ca_topic_score_gemma":0.00001502767,"domain_scores_codex":[0.9977545,0.001480694,0.0005121665,0.00004573398,0.0001408586,0.00006608853],"domain_scores_gemma":[0.9981148,0.001240578,0.0003625005,0.00005398483,0.0001609058,0.00006722131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001235878,0.00007117886,0.8493551,0.00002889199,0.000007340404,1.309694e-7,0.002370685,0.000002524785,0.00001692131,0.003544022,0.007143949,0.1374469],"study_design_scores_gemma":[0.0003869542,0.00009288822,0.9209181,0.0001374062,0.00004812423,0.000001366063,0.009137643,0.00004048409,0.00002703895,0.003092125,0.06606916,0.00004872567],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9754652,0.0002126757,0.0004174129,0.02085511,0.001942573,0.00005416706,1.808422e-7,0.000002791365,0.001049879],"genre_scores_gemma":[0.9974062,0.000642036,0.0001815401,0.0004842913,0.0008380662,4.016708e-7,5.233425e-8,0.000001196347,0.000446198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1373982,"threshold_uncertainty_score":0.9117182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1356416536095964,"score_gpt":0.5121380947528247,"score_spread":0.3764964411432282,"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."}}