{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002042226,0.0001223187,0.0002644082,0.0002529571,0.0007925554,0.0003138509,0.001136708,0.00008273526,0.00003413009],"category_scores_gemma":[0.0001064046,0.0001259305,0.0000915904,0.0006746437,0.00004801558,0.0002638012,0.0004513554,0.0002589727,0.00004550883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002346257,"about_ca_system_score_gemma":0.0006270157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001135229,"about_ca_topic_score_gemma":0.0007926387,"domain_scores_codex":[0.9971156,0.0004896514,0.0003790317,0.0006779493,0.0005799123,0.0007578983],"domain_scores_gemma":[0.9959912,0.001601168,0.0001637939,0.0005315932,0.001445121,0.0002670657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002269783,0.0009612337,0.0005439166,0.002285912,0.0001937471,0.00001472699,0.02506664,0.0001515852,0.0097534,0.7099855,0.06784125,0.1829751],"study_design_scores_gemma":[0.002643479,0.000566006,0.005622947,0.0002682589,0.00001058555,0.00003805439,0.01123265,0.2701489,0.007932312,0.02831045,0.6727617,0.0004645672],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007029981,0.0006839662,0.9458945,0.04375147,0.0007764972,0.001486207,0.0001642354,0.00009109324,0.0001220437],"genre_scores_gemma":[0.260794,0.0001680931,0.7302336,0.005186222,0.0003517292,0.00240871,0.0003026492,0.0000241811,0.000530948],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.681675,"threshold_uncertainty_score":0.6095775,"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."}}