{"id":"W4303943773","doi":"10.2196/41828","title":"Profiling of Learners in Medical Schools as a Move Toward Precision Education: Protocol for a Scoping Review","year":2022,"lang":"en","type":"review","venue":"JMIR Research Protocols","topic":"Innovations in Medical Education","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"CINAHL; Scopus; Profiling (computer programming); Checklist; Systematic review; Medical education; MEDLINE; Lifelong learning; Population; Grey literature; Computer science; Psychology; Medicine; Pedagogy; Nursing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1221757,0.006255278,0.013049,0.01631254,0.005595064,0.007650488,0.005242188,0.01020666,0.07000847],"category_scores_gemma":[0.1246689,0.005933811,0.0164173,0.01493981,0.005959617,0.009784291,0.006968311,0.008843049,0.01701821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01422459,"about_ca_system_score_gemma":0.07305463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005033216,"about_ca_topic_score_gemma":0.01060855,"domain_scores_codex":[0.9350796,0.02566472,0.02482487,0.004256066,0.007279851,0.002894789],"domain_scores_gemma":[0.9102994,0.03226047,0.0147225,0.01071555,0.02880314,0.003198991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0132682,0.00121951,0.001861056,0.7455999,0.002405077,0.002703097,0.01108487,0.003981431,0.005381572,0.01579854,0.08229495,0.1144018],"study_design_scores_gemma":[0.02318616,0.003519804,0.007670226,0.41623,0.003976973,0.00124732,0.006645141,0.002233376,0.004413458,0.02343199,0.5066144,0.0008312745],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0001756987,0.0004756858,0.001182027,0.0001669843,0.0001407728,0.9961909,0.001224578,0.00004382163,0.0003994794],"genre_scores_gemma":[0.0001399874,0.0004026292,0.002445696,0.00007913187,0.00001558532,0.9965349,0.0002160878,0.000005321138,0.0001606505],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.1221757,"threshold_uncertainty_score":0.6461344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5669348121337582,"score_gpt":0.7176442830239441,"score_spread":0.1507094708901859,"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."}}