{"id":"W3214643901","doi":"10.1111/1475-6773.13890","title":"A methodology for identifying high‐need, high‐cost patient personas for international comparisons","year":2021,"lang":"en","type":"article","venue":"Health Services Research","topic":"Persona Design and Applications","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trillium Health Centre; University of Toronto","funders":"Health Foundation; European Regional Development Fund; Ontario Ministry of Health and Long-Term Care; Commonwealth Fund","keywords":"Medicine; Comparability; Health care; Specialty; Ambulatory care; Family medicine; Persona; MEDLINE; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2591665,0.001783123,0.002502616,0.011467,0.002681009,0.004917844,0.005075142,0.002489414,0.005047016],"category_scores_gemma":[0.4092386,0.001384166,0.005396964,0.0162556,0.002761048,0.003996835,0.009462824,0.002955592,0.001118102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004060153,"about_ca_system_score_gemma":0.0074978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004483495,"about_ca_topic_score_gemma":0.003475658,"domain_scores_codex":[0.5689226,0.3558049,0.03792142,0.01613418,0.01957457,0.00164238],"domain_scores_gemma":[0.70438,0.155177,0.03814285,0.06302909,0.0378077,0.001463194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003064604,0.001355811,0.2236746,0.009506742,0.01237502,0.0008680212,0.02398392,0.01301379,0.003661907,0.2794967,0.03121725,0.3977816],"study_design_scores_gemma":[0.004459137,0.00457823,0.2274327,0.008119781,0.006317261,0.002357101,0.02484249,0.06866474,0.01009502,0.3389702,0.3032192,0.0009440974],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01907729,0.0007324852,0.936349,0.001407483,0.0004383325,0.03085494,0.006653954,0.0002160093,0.004270455],"genre_scores_gemma":[0.05902418,0.0001770264,0.8331816,0.0007877476,0.0001188924,0.1021826,0.003859678,0.00006944158,0.0005989068],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2591665,"threshold_uncertainty_score":0.9135796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4015630184487767,"score_gpt":0.5252587588653895,"score_spread":0.1236957404166128,"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."}}