{"id":"W4412613563","doi":"10.2196/preprints.69443","title":"Innovative Mobile App (CPD By the Minute) for Continuing Professional Development in Medicine: Multimethods Study (Preprint)","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Innovations in Medical Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Mobile apps; Continuing professional development; Medical education; Professional development; Library science; Psychology; Medicine; Computer science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005360865,0.0005498687,0.001012188,0.001012423,0.002057061,0.001483321,0.0006241858,0.001336793,0.008940076],"category_scores_gemma":[0.01014703,0.0008424625,0.001296993,0.001077122,0.0006276991,0.001679399,0.001119278,0.001121926,0.002358077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002385079,"about_ca_system_score_gemma":0.007308895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01501899,"about_ca_topic_score_gemma":0.02868145,"domain_scores_codex":[0.997058,0.0008520504,0.0005679778,0.0005264099,0.0005617197,0.0004337321],"domain_scores_gemma":[0.9944733,0.001783975,0.000970705,0.0003623282,0.001734757,0.0006749679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01187512,0.0404907,0.5958253,0.01034989,0.00138885,0.001463655,0.04977015,0.0003279962,0.002436146,0.000947279,0.04030954,0.2448154],"study_design_scores_gemma":[0.004762405,0.03780152,0.8571209,0.004318866,0.0009776284,0.001017637,0.03532104,0.0005816161,0.001426702,0.000642631,0.05572411,0.00030486],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9608359,0.001574461,0.001255393,0.001108948,0.0001796401,0.02646738,0.004180558,0.00007200549,0.00432557],"genre_scores_gemma":[0.8823844,0.002763285,0.01005044,0.006974785,0.0003379729,0.08611161,0.002744433,0.00008031878,0.008552757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01501899,"threshold_uncertainty_score":0.02990752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04030649690154001,"score_gpt":0.4361647016421056,"score_spread":0.3958582047405655,"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."}}