{"id":"W4388740476","doi":"10.2196/45413","title":"Design and Development of Learning Management System Huemul for Teaching Fast Healthcare Interoperability Resource: Algorithm Development and Validation Study","year":2023,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Computer science; World Wide Web","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":[0.003741878,0.0005610511,0.0005864498,0.001275139,0.0005685618,0.001138998,0.00122708,0.0008846186,0.004299225],"category_scores_gemma":[0.007308394,0.0002946359,0.000661427,0.0005318497,0.0003565989,0.001196471,0.0009298708,0.0004492835,0.0007673402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001281925,"about_ca_system_score_gemma":0.001997608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002380746,"about_ca_topic_score_gemma":0.0013746,"domain_scores_codex":[0.9976808,0.0009248863,0.0002021339,0.0004393315,0.0005970214,0.000155776],"domain_scores_gemma":[0.9965597,0.001567158,0.0001971832,0.000265882,0.00129329,0.0001168615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006653145,0.001479051,0.03162176,0.001085762,0.000143633,0.0003549877,0.001328662,0.08779941,0.04121818,0.007244491,0.003050078,0.8240087],"study_design_scores_gemma":[0.0003419457,0.001610455,0.01414132,0.0001999468,0.0001957425,0.0002859862,0.000790329,0.8697136,0.09711999,0.001450799,0.0141022,0.00004765191],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2499735,0.0002220168,0.738699,0.0002161772,0.00004643789,0.002486472,0.00020838,0.003251486,0.004896551],"genre_scores_gemma":[0.3801072,0.0001376263,0.6138583,0.0000651142,0.000008998497,0.002065866,0.0005407998,0.0001039423,0.003112171],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004299225,"threshold_uncertainty_score":0.01978916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06852460483800592,"score_gpt":0.458787761146895,"score_spread":0.390263156308889,"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."}}