{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008410746,0.002304063,0.001866582,0.001212363,0.0009390022,0.002351213,0.003043907,0.001400008,0.0963968],"category_scores_gemma":[0.02385563,0.001723264,0.001788179,0.0008140322,0.001317093,0.0009217397,0.002545322,0.00344485,0.01260476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001250937,"about_ca_system_score_gemma":0.002701562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00126381,"about_ca_topic_score_gemma":0.002087546,"domain_scores_codex":[0.9940802,0.002245302,0.0006452887,0.001199465,0.001241605,0.0005881122],"domain_scores_gemma":[0.9896151,0.006505927,0.0005744883,0.001404176,0.001357695,0.00054249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.02238685,0.006324401,0.002921014,0.01619025,0.0008652516,0.001129529,0.004671657,0.03876076,0.06376699,0.07615263,0.1588556,0.6079751],"study_design_scores_gemma":[0.01573864,0.0120111,0.008609065,0.001898828,0.0009058203,0.0004502626,0.0007508111,0.08099578,0.03796261,0.0846794,0.7553765,0.0006212777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02786352,0.001233764,0.8046831,0.0009381049,0.0029308,0.1008193,0.008317004,0.02056322,0.03265103],"genre_scores_gemma":[0.03306626,0.0005689495,0.675957,0.001053038,0.0001643359,0.2728712,0.001843683,0.002344067,0.01213155],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0963968,"threshold_uncertainty_score":0.3224794,"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."}}