{"id":"W7015314698","doi":"","title":"Simulation-Based Teaching and Learning for Electrophysiology by iCell","year":2001,"lang":"en","type":"article","venue":"Defense Technical Information Center (DTIC)","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Glossary; Active learning (machine learning); Memphis; Graduate students; Java applet; Session (web analytics)","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":[0.001149891,0.0006442383,0.000432755,0.0006167344,0.0003945762,0.00138136,0.001529072,0.0007428143,0.02804501],"category_scores_gemma":[0.003488573,0.0004124771,0.0006141467,0.0006206595,0.0004816243,0.001573304,0.002029958,0.001557739,0.006257229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007799017,"about_ca_system_score_gemma":0.001011083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001666601,"about_ca_topic_score_gemma":0.002481321,"domain_scores_codex":[0.9995016,0.0001448899,0.00003040613,0.00007112064,0.0002152139,0.00003678574],"domain_scores_gemma":[0.9978709,0.001100057,0.00005327218,0.0004284462,0.0003082926,0.0002388819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004555254,0.001258097,0.003082044,0.0005804691,0.00005914181,0.0005383386,0.001400356,0.1039135,0.03542237,0.05980031,0.170984,0.6225058],"study_design_scores_gemma":[0.0003475794,0.0002284769,0.001615489,0.0002387292,0.00003841296,0.0005436765,0.0001383527,0.4211826,0.02316435,0.02954952,0.5228634,0.00008929595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009150428,0.0001991329,0.9249352,0.0006344391,0.0002043769,0.000259646,0.0005471872,0.01650865,0.04756093],"genre_scores_gemma":[0.07429601,0.0005329456,0.8834321,0.0004186095,0.00008473638,0.001024181,0.00255529,0.003026169,0.03462991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02804501,"threshold_uncertainty_score":0.09381986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009700067918417953,"score_gpt":0.270193388957152,"score_spread":0.2604933210387341,"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."}}