{"id":"W2055646685","doi":"10.1068/p5562","title":"Additivity of Retinal and Pursuit Velocity in the Perceptions of Depth and Rigidity from Object-Produced Motion Parallax","year":2007,"lang":"en","type":"article","venue":"Perception","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Parallax; Eye movement; Retinal; Motion perception; Physics; Optics; Rigidity (electromagnetism); Smooth pursuit; Motion (physics); Depth perception; Retina; Row; Computer vision; Perception; Artificial intelligence; Mathematics; Computer science; Psychology; Neuroscience; Ophthalmology; Medicine","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":[0.001131392,0.0001240484,0.0001803773,0.0001126245,0.0001498253,0.0000351586,0.0001288911,0.0001043136,0.0002711308],"category_scores_gemma":[0.0003353035,0.0001009846,0.00003834787,0.0002570314,0.0002682215,0.0002348626,0.00004293644,0.0002028603,0.00001194135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000360196,"about_ca_system_score_gemma":0.00001755534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003814893,"about_ca_topic_score_gemma":0.0004488117,"domain_scores_codex":[0.998533,0.0002854028,0.0002989858,0.0003654211,0.0003435109,0.0001736677],"domain_scores_gemma":[0.9993742,0.000197826,0.0001446104,0.0001824835,0.00005152639,0.00004933817],"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":[0.00008066047,0.0001241827,0.0117379,0.00003562119,9.460095e-7,9.708173e-7,0.00588733,0.000002707155,0.946111,0.0001545211,0.00003054445,0.03583359],"study_design_scores_gemma":[0.0003270751,0.0001370555,0.9609218,0.00003653347,0.0000138135,0.00001407132,0.002283152,0.0007463922,0.0339179,0.001480781,0.00001755677,0.0001039313],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942098,0.00000661426,0.004730968,0.0001665442,0.00007419781,0.0002107563,0.00004580865,0.0000256269,0.0005296619],"genre_scores_gemma":[0.9989731,0.0001115544,0.0006242986,0.0001594365,0.00007618534,0.000006946992,0.0000206194,0.000008005151,0.00001979923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9491838,"threshold_uncertainty_score":0.4118033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0537971183301874,"score_gpt":0.3246582729271377,"score_spread":0.2708611545969503,"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."}}