{"id":"W3094968784","doi":"10.1167/jov.20.11.810","title":"Experimental design with Unity Game Engine","year":2020,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Human Motion and Animation","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Game engine; Computer science; Human–computer interaction","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":[0.00006569713,0.00004348511,0.00006914638,0.0000310524,0.0000126676,0.00001716755,0.0000397842,0.00001555431,0.0001495925],"category_scores_gemma":[0.000007953895,0.00003218745,0.00002096028,0.00005582408,0.000004950367,0.0001465284,0.000003534538,0.00009659075,0.00001868622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000223047,"about_ca_system_score_gemma":0.000005882438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.472033e-8,"about_ca_topic_score_gemma":2.794135e-8,"domain_scores_codex":[0.9996871,0.00001460415,0.00011687,0.00002410179,0.0001135328,0.00004380343],"domain_scores_gemma":[0.9998374,0.00000875997,0.00003371366,0.00002293101,0.0000271136,0.00007011017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001288607,0.00006894537,0.00004977455,0.00002675885,0.00003046225,0.00004537286,0.002325749,0.1679568,0.8150483,0.00006404585,0.007663158,0.00659174],"study_design_scores_gemma":[0.003410414,0.004706858,0.01935581,0.0003102822,0.00003394344,0.0001620308,0.0007430231,0.4861616,0.4712376,0.00006323256,0.01346024,0.0003549223],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7241318,0.0001574424,0.2750557,0.0002155906,0.00006535366,0.00003352119,2.764383e-7,0.00003895352,0.0003013606],"genre_scores_gemma":[0.9957117,0.00000999949,0.004091366,0.00005964738,0.0001124347,1.439296e-7,3.505702e-7,0.000008150634,0.000006155072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3438107,"threshold_uncertainty_score":0.1637932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02745502779978145,"score_gpt":0.2525776327846568,"score_spread":0.2251226049848754,"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."}}