{"id":"W2893739588","doi":"10.1167/18.10.792","title":"Perceived size during visually simulated self-motion","year":2018,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Observer (physics); Computer vision; Orientation (vector space); Depth perception; Subjective constancy; Artificial intelligence; Motion (physics); Stereoscopy; Computer science; Psychology; Mathematics; Perception; Physics; Geometry","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":[0.0002393386,0.000182131,0.0001225234,0.0001685495,0.00007736277,0.0003812114,0.0001823144,0.0002807412,0.002685569],"category_scores_gemma":[0.002982325,0.00008610142,0.0001660138,0.00008438002,0.0001624643,0.000314701,0.0003808536,0.0002103447,0.0001300568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002070256,"about_ca_system_score_gemma":0.0001069084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007954111,"about_ca_topic_score_gemma":0.0005127738,"domain_scores_codex":[0.9997892,0.00004389762,0.00001415454,0.00004528218,0.00008888017,0.00001853796],"domain_scores_gemma":[0.9988328,0.000489876,0.0003143966,0.0000990333,0.0001727933,0.00009127091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00167225,0.00006461843,0.02034411,0.000341281,0.00004208312,0.0001807231,0.0009725632,0.001717638,0.9535062,0.0003477129,0.0002444052,0.02056639],"study_design_scores_gemma":[0.00009426951,0.004154644,0.8480136,0.0001154591,0.0001085267,0.0009825423,0.001103502,0.01079027,0.1311361,0.0009725782,0.002450416,0.00007797498],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960706,0.00008490276,0.002900885,0.00001354189,0.0000124638,0.00001446898,0.00009660527,0.0000372418,0.0007691455],"genre_scores_gemma":[0.9977543,0.00003827626,0.001758808,0.0000123932,0.000003859967,0.00001051547,0.0001043188,0.00001236029,0.000305313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002685569,"threshold_uncertainty_score":0.008984149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01230365652295284,"score_gpt":0.3110755313280292,"score_spread":0.2987718748050764,"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."}}