{"id":"W4225379889","doi":"10.1096/fasebj.2022.36.s1.0i616","title":"Ethical and Inclusive Design Principles in xR","year":2022,"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":"Affordance; Augmented reality; Engineering ethics; Virtual reality; Emerging technologies; Space (punctuation); Computer science; Sociology; Psychology; Human–computer interaction; Engineering","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":[0.05635586,0.001367336,0.001110575,0.001822671,0.006305234,0.01217807,0.002329744,0.00659444,0.005544093],"category_scores_gemma":[0.04837194,0.001176703,0.001719693,0.001018411,0.05373839,0.009578008,0.008900574,0.008804852,0.002219988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004245111,"about_ca_system_score_gemma":0.007370045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001816412,"about_ca_topic_score_gemma":0.001522178,"domain_scores_codex":[0.9268057,0.05417281,0.003982617,0.004314055,0.009218396,0.001506459],"domain_scores_gemma":[0.9572956,0.02681381,0.002342213,0.006858441,0.005616636,0.001073273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001113187,0.00001512098,0.0001045085,0.00007915077,0.000007849089,0.00006639709,0.003263972,0.0003841276,0.0001489559,0.9896802,0.001404666,0.004833843],"study_design_scores_gemma":[0.00004704683,0.00006511909,0.0001367896,0.0002614904,0.00001592234,0.0002930143,0.00128725,0.0008175682,0.0004854949,0.8943901,0.1021696,0.00003063957],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009630877,0.003920859,0.6713339,0.0497106,0.001886432,0.0008200775,0.0001086283,0.0003170523,0.2622716],"genre_scores_gemma":[0.3852359,0.002782819,0.5408554,0.01591279,0.0011119,0.004876126,0.0001219192,0.0003886929,0.04871446],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05635586,"threshold_uncertainty_score":0.2980419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0196753696461552,"score_gpt":0.2452900716490318,"score_spread":0.2256147020028766,"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."}}