{"id":"W2483118307","doi":"10.1101/066159","title":"A common perceptual inference for cross-modally induced illusions of body schema","year":2016,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Queen's University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Body schema; Illusion; Schema (genetic algorithms); Perception; Inference; Psychology; Cognitive psychology; Automaticity; Social psychology; Computer science; Artificial intelligence; Cognition; Information retrieval; Neuroscience","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001075375,0.0001747847,0.0001919249,0.000531688,0.000273959,0.001038209,0.0003573011,0.000578643,0.002599647],"category_scores_gemma":[0.01176363,0.000246949,0.0002758308,0.0001848348,0.001251158,0.0009735205,0.001732654,0.001107362,0.0001424318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002207105,"about_ca_system_score_gemma":0.0001196839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002114519,"about_ca_topic_score_gemma":0.0001474484,"domain_scores_codex":[0.9990249,0.0002288863,0.00008056193,0.0002365933,0.0003401426,0.00008896431],"domain_scores_gemma":[0.9958403,0.001050197,0.0009610474,0.001622918,0.0003256225,0.0001998142],"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":[0.001095423,0.000135468,0.03428954,0.0002692541,0.0001180285,0.001014208,0.01074906,0.0008673971,0.8991421,0.02265075,0.0004244875,0.02924433],"study_design_scores_gemma":[0.00012008,0.001000743,0.7289886,0.00017398,0.0001899934,0.007421694,0.007669979,0.02351114,0.1650737,0.06111076,0.004568995,0.000170286],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9693694,0.0001090261,0.02376544,0.0002184605,0.00003077391,0.00003949643,0.00007158062,0.00008362783,0.006312283],"genre_scores_gemma":[0.9977936,0.00001525509,0.00198819,0.00002854892,0.000004714368,0.000009287582,0.00002585872,0.000009347009,0.0001252198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002599647,"threshold_uncertainty_score":0.008696735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03566008194129416,"score_gpt":0.3029461375508169,"score_spread":0.2672860556095227,"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."}}