{"id":"W3173874979","doi":"10.1096/fasebj.2018.32.1_supplement.635.3","title":"Can virtual dissection be effectively performed remotely? Pilot study from a second‐year neuroanatomy laboratory at a large distributed medical school","year":2018,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Dissection (medical); Medical education; Medical physics; Computer science; Session (web analytics); Multimedia; Virtual reality; Workstation; Medicine; Human–computer interaction; Radiology; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007179935,0.0002229088,0.000279103,0.0001077073,0.0005186554,0.00004185132,0.0004463934,0.000157618,0.003290656],"category_scores_gemma":[0.0009622445,0.0001560726,0.00006005436,0.0003662089,0.0002361033,0.0001184422,0.0001351357,0.001553064,0.0001098989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003032824,"about_ca_system_score_gemma":0.000178503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003159945,"about_ca_topic_score_gemma":0.0009180165,"domain_scores_codex":[0.9981436,0.0002564102,0.0003289486,0.0002144532,0.0005737969,0.0004827573],"domain_scores_gemma":[0.9987538,0.0001865394,0.0000757563,0.0002910729,0.000104769,0.0005880528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01100276,0.01098376,0.2686784,0.0002872004,0.01142597,0.01135214,0.02123928,0.000237372,0.2906001,0.004157166,0.2824446,0.08759127],"study_design_scores_gemma":[0.04103228,0.03728674,0.5601388,0.0006710134,0.001135698,0.003609032,0.02127337,0.06723588,0.1430757,0.002990196,0.1182906,0.003260643],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956107,0.0001456673,0.001804601,0.0005442813,0.0009433555,0.0002540179,0.0001801469,0.000293826,0.0002234505],"genre_scores_gemma":[0.9985931,0.00007255287,0.00002031582,0.0003727763,0.0008174515,0.00001254301,0.00001978641,0.00003765257,0.00005384548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2914604,"threshold_uncertainty_score":0.9976205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007963970003507499,"score_gpt":0.230336799388634,"score_spread":0.2223728293851265,"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."}}