{"id":"W2300607002","doi":"10.15273/dmj.vol42no1.6443","title":"Open Journal Systems Journal Help User Username Password Remember me Notifications View Subscribe Journal Content Search Browse By Issue By Author By Title Other Journals Font Size Make font size smaller Make font size default Make font size larger Information For Readers For Authors For Librarians Home About Login Register Search Current Archives Announcements Early Issues on DalSpace Home > Vol 42, No 1 (2015) > Gould Student use of self-directed learning time in an undergraduate medical curriculum","year":2015,"lang":"en","type":"article","venue":"Dalhousie Medical Journal","topic":"Innovations in Medical Education","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Curriculum; Font; Likert scale; Medical education; Computer science; Psychology; Medicine; Artificial intelligence; Pedagogy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01557063,0.0008500207,0.001784244,0.0006513679,0.0009947346,0.00228441,0.001878074,0.0008277527,0.001627959],"category_scores_gemma":[0.0240324,0.0006508288,0.0005344558,0.00079403,0.000435502,0.001502468,0.0002992029,0.004884718,0.00008379711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001327522,"about_ca_system_score_gemma":0.003453541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001304097,"about_ca_topic_score_gemma":0.00006173464,"domain_scores_codex":[0.9852731,0.002003911,0.004162618,0.0007426759,0.005983688,0.001834001],"domain_scores_gemma":[0.9864689,0.002317924,0.002497498,0.0007100247,0.005217491,0.002788183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002085707,0.003501734,0.005326895,0.0004609769,0.001079107,0.00008711815,0.006697997,0.0001264869,0.001179979,0.00009491128,0.9618781,0.017481],"study_design_scores_gemma":[0.01591827,0.003073262,0.004135995,0.005023873,0.0005125726,0.001691431,0.004469839,0.0129215,0.00007977957,0.0002467041,0.9509743,0.0009524603],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4289968,0.01552394,0.1787999,0.3191557,0.03074772,0.0222689,0.00283849,0.0007423518,0.0009261735],"genre_scores_gemma":[0.2231996,0.03827304,0.2806311,0.0364248,0.05296081,0.006140857,0.005957367,0.003918513,0.3524939],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3515677,"threshold_uncertainty_score":0.9995943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07822643582142504,"score_gpt":0.3802957072970511,"score_spread":0.3020692714756261,"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."}}