{"id":"W4402521326","doi":"10.1145/3677386.3688889","title":"Ranking Realism in Mixed Reality","year":2024,"lang":"en","type":"article","venue":"","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Realism; Mixed reality; Computer science; Ranking (information retrieval); Augmented reality; Information retrieval; Human–computer interaction; Epistemology; Philosophy","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":[0.004443272,0.001303038,0.0006810643,0.005806126,0.001481428,0.005410127,0.0007377129,0.0007612971,0.0115656],"category_scores_gemma":[0.02885462,0.0004343981,0.000809975,0.00202158,0.002146689,0.004214591,0.004360858,0.001187547,0.001437777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001639289,"about_ca_system_score_gemma":0.000717635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003483736,"about_ca_topic_score_gemma":0.005132996,"domain_scores_codex":[0.9932271,0.002742005,0.0003497689,0.0006253456,0.002619707,0.0004361147],"domain_scores_gemma":[0.988416,0.005364614,0.0009875362,0.001766912,0.002787522,0.0006775858],"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":[0.001766362,0.0002283282,0.04469502,0.001104898,0.0003223016,0.0003067505,0.002705543,0.06051096,0.01591443,0.2774738,0.01559032,0.5793813],"study_design_scores_gemma":[0.0003057804,0.001654683,0.06342473,0.00098882,0.0004647973,0.001225857,0.005596098,0.3659756,0.03752017,0.3876157,0.1344264,0.0008014358],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2198974,0.001309932,0.6517414,0.001427507,0.0006683876,0.0005306162,0.002594384,0.002691744,0.1191385],"genre_scores_gemma":[0.8492411,0.0003109211,0.1437541,0.0002245553,0.00009748841,0.0002270217,0.0009827289,0.0003343135,0.004827753],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0115656,"threshold_uncertainty_score":0.03869075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03910438100587854,"score_gpt":0.314625142274401,"score_spread":0.2755207612685224,"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."}}