{"id":"W4225370496","doi":"10.1096/fasebj.2022.36.s1.0r592","title":"Evaluating Autostereoscopy (Alioscopy <sup>TM</sup> ) Use for Anatomy Education","year":2022,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; McMaster University","funders":"","keywords":"Cognitive load; Stereoscopy; Computer science; Virtual reality; Visualization; Cognition; Headset; Resource (disambiguation); Multimedia; Human–computer interaction; Artificial intelligence; Psychology; Neuroscience","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":[0.003175721,0.0004277566,0.0002667623,0.0008480379,0.0002455469,0.0009952058,0.0005853946,0.0005893172,0.01224867],"category_scores_gemma":[0.01767343,0.0001435833,0.0007801452,0.0003294258,0.0003471538,0.00110716,0.0007790909,0.0004612084,0.001790061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000486375,"about_ca_system_score_gemma":0.0007811513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009443972,"about_ca_topic_score_gemma":0.002500128,"domain_scores_codex":[0.998373,0.0006522146,0.0001909413,0.0001108528,0.0005455344,0.0001273472],"domain_scores_gemma":[0.9845148,0.009091889,0.002857166,0.0003388834,0.002022853,0.001174352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002607623,0.003130485,0.4268089,0.002285588,0.0001638212,0.0003249187,0.003208337,0.001170358,0.005995478,0.0006095959,0.01001316,0.5436818],"study_design_scores_gemma":[0.0002165392,0.01424215,0.9399415,0.002046514,0.0003533752,0.001840827,0.004333694,0.004932459,0.01125076,0.0005636839,0.02017587,0.0001024179],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773308,0.001854923,0.004233373,0.0005177796,0.00008286504,0.001112887,0.0009296535,0.0002868664,0.01365083],"genre_scores_gemma":[0.9827747,0.002051001,0.01055481,0.0001924443,0.0000393871,0.0009998106,0.0004952949,0.00004448025,0.002848055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01224867,"threshold_uncertainty_score":0.04097587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03379463850489016,"score_gpt":0.326858156701511,"score_spread":0.2930635181966208,"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."}}