{"id":"W3134013653","doi":"10.16910/jemr.12.7.11","title":"Eye and head movements while looking at rotated scenes in VR.","year":2019,"lang":"en","type":"article","venue":"Journal of Eye Movement Research","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Eye movement; Head (geology); Computer vision; Computer science; Optical head-mounted display; Artificial intelligence; Psychology; Cognitive psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.002775823,0.0000993416,0.0002055267,0.0004663873,0.0001169795,0.0002331266,0.0006579712,0.00004672296,0.00007355503],"category_scores_gemma":[0.0000829462,0.00008103779,0.00004329259,0.0006630578,0.00004636285,0.0005956488,0.0005953692,0.000353322,0.00004833719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003271366,"about_ca_system_score_gemma":0.0001328189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001863023,"about_ca_topic_score_gemma":0.00009734694,"domain_scores_codex":[0.9976301,0.0001670221,0.0004545148,0.0002290648,0.001077169,0.0004420939],"domain_scores_gemma":[0.9988162,0.0001235752,0.0001640298,0.0003727987,0.0003279046,0.0001955069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002313014,0.001297924,0.5233527,0.000174592,0.0001293457,0.0001021662,0.003461555,0.001029487,0.2800546,0.01582751,0.003230235,0.1711086],"study_design_scores_gemma":[0.003097059,0.001740454,0.9177343,0.0005208077,0.000003705996,0.000006858843,0.0005042481,0.02029795,0.02290629,0.0101913,0.02269269,0.0003043272],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923455,0.0002990337,0.001596318,0.00211011,0.00007626533,0.0003349191,0.000001465786,0.00000654297,0.003229853],"genre_scores_gemma":[0.9966177,0.0002733038,0.00101299,0.0003374052,0.00004106402,0.000007480318,9.16732e-7,0.000007484253,0.001701632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3943816,"threshold_uncertainty_score":0.3304625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06993455761981462,"score_gpt":0.3954286576566382,"score_spread":0.3254941000368236,"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."}}