{"id":"W4281492920","doi":"10.3233/shti220637","title":"Teaching Teledermatology: A Simulation Pilot for Health Professional Students","year":2022,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Teledermatology; Session (web analytics); Videoconferencing; Feeling; Debriefing; Workflow; Medical education; Reading (process); Simulation training; Multimedia; Simulated patient; Computer science; Telemedicine; Psychology; Medicine; Health care; Simulation; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"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":[0.005309188,0.001190877,0.0005950647,0.0006546011,0.001627081,0.001114544,0.002101177,0.002648728,0.004720318],"category_scores_gemma":[0.008346843,0.0006533997,0.0008599148,0.0004033877,0.0009633252,0.0008494945,0.001525678,0.001984015,0.001085999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001352914,"about_ca_system_score_gemma":0.003491553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00209338,"about_ca_topic_score_gemma":0.004078944,"domain_scores_codex":[0.9976434,0.001391595,0.00009257381,0.0001561049,0.0001937022,0.0005226384],"domain_scores_gemma":[0.9905595,0.003621217,0.0003359979,0.0006598419,0.0008206182,0.004002872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.01702436,0.5612665,0.06459699,0.001230891,0.0002499353,0.007587865,0.04273129,0.03734358,0.03836346,0.001262158,0.005541004,0.222802],"study_design_scores_gemma":[0.02264952,0.6838893,0.0859433,0.0004717534,0.0004134887,0.005014408,0.03699596,0.05489162,0.07059713,0.002384713,0.03622677,0.0005220361],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950472,0.00003721181,0.001915106,0.0003089657,0.0000327827,0.001674656,0.00009029057,0.00008409285,0.0008098691],"genre_scores_gemma":[0.9849706,0.0002033271,0.0105836,0.0003590324,0.00005871904,0.002069158,0.0001820054,0.0000249096,0.001548648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005309188,"threshold_uncertainty_score":0.02807802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1017984667238574,"score_gpt":0.5166747950586033,"score_spread":0.4148763283347459,"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."}}