{"id":"W4310949926","doi":"10.2196/38427","title":"Developing and Integrating Asynchronous Web-Based Cases for Discussing and Learning Clinical Reasoning: Repeated Cross-sectional Study","year":2022,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Clinical Reasoning and Diagnostic Skills","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Asynchronous communication; Computer science; Asynchronous learning; Cross-sectional study; Psychology; Medicine; Mathematics education; Teaching method; Synchronous learning; Cooperative learning","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":[0.02326135,0.0004724539,0.0004591787,0.001879722,0.001763766,0.001950207,0.0008897675,0.001130118,0.002270743],"category_scores_gemma":[0.05137388,0.0009623294,0.0007398387,0.0008952373,0.001420757,0.002595469,0.001959859,0.001661098,0.0007597068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001635783,"about_ca_system_score_gemma":0.00269069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003196733,"about_ca_topic_score_gemma":0.006986241,"domain_scores_codex":[0.9878687,0.006711589,0.001464315,0.001212434,0.001812039,0.0009309103],"domain_scores_gemma":[0.9310922,0.03881377,0.01193669,0.004005165,0.01121046,0.00294174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003150468,0.006668229,0.8932068,0.0003757239,0.0001186752,0.0004877443,0.07589868,0.00009497161,0.0009431916,0.0001218783,0.000589916,0.02117925],"study_design_scores_gemma":[0.0001586872,0.01048771,0.8617987,0.0004743919,0.0001866667,0.001359974,0.1167988,0.0009212808,0.002128032,0.0002164091,0.00537896,0.00009025441],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983957,0.00009010527,0.0004895296,0.00003899246,0.000006671708,0.0004370772,0.00006048833,0.00001026886,0.0004712009],"genre_scores_gemma":[0.9966185,0.000153977,0.001729636,0.0001407152,0.00001198217,0.000753918,0.0001085227,0.00001375541,0.0004689058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02326135,"threshold_uncertainty_score":0.1230193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04639467073170852,"score_gpt":0.4519310634582897,"score_spread":0.4055363927265812,"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."}}