{"id":"W2955092899","doi":"10.1017/s1463423619000239","title":"Development of primary care assessment tool–adult version in Tibet: implication for low- and middle-income countries","year":2019,"lang":"en","type":"article","venue":"Primary Health Care Research & Development","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Item response theory; Confirmatory factor analysis; Metric (unit); Construct (python library); Primary care; Psychology; Construct validity; Psychometrics; Relevance (law); Structural equation modeling; Differential item functioning; Logistic regression; Measurement invariance; Applied psychology; Medicine; Computer science; Clinical psychology; Family medicine; Machine learning; Operations management","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007839089,0.0004983318,0.0007122926,0.002871662,0.0007409959,0.001528364,0.001001756,0.0005185157,0.00694921],"category_scores_gemma":[0.01794533,0.0002601986,0.0006751029,0.005266892,0.0004219764,0.001062238,0.001044535,0.001084745,0.001109648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00188369,"about_ca_system_score_gemma":0.006713005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01977444,"about_ca_topic_score_gemma":0.0218429,"domain_scores_codex":[0.9964065,0.001658882,0.0005145215,0.0002446699,0.0008593177,0.0003161485],"domain_scores_gemma":[0.9920913,0.002294811,0.001157951,0.0003524077,0.003221367,0.000882252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003635573,0.0006063211,0.7277364,0.001149895,0.0001128112,0.0004240201,0.001306172,0.001050437,0.001009138,0.001000142,0.01625015,0.248991],"study_design_scores_gemma":[0.00009526884,0.0003322502,0.9855095,0.0006715794,0.00004178484,0.0002626925,0.001309476,0.001922437,0.0002027773,0.0005030243,0.009124225,0.00002503816],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9028359,0.006788302,0.01426614,0.008531393,0.001064669,0.005142687,0.03182641,0.0008343203,0.02871016],"genre_scores_gemma":[0.9035844,0.002404211,0.05285152,0.0009614582,0.0001640059,0.007872098,0.02831358,0.0000882369,0.003760495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01977444,"threshold_uncertainty_score":0.04145753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05405819600081603,"score_gpt":0.4513882600518445,"score_spread":0.3973300640510285,"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."}}