{"id":"W1998850717","doi":"10.1163/156856808786451417","title":"Vergence modulation as a cue to movement in depth","year":2008,"lang":"en","type":"article","venue":"Spatial Vision","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Looming; Binocular disparity; Depth perception; Vergence (optics); Computer vision; Sensation; Motion (physics); Artificial intelligence; Modulation (music); Stereopsis; Binocular vision; Optics; Motion perception; Communication; Computer science; Psychology; Physics; Perception; Neuroscience; Acoustics","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":[0.0001088761,0.00014386,0.0001543702,0.0001004595,0.00009274293,0.0001993323,0.0001421308,0.000163467,0.001917169],"category_scores_gemma":[0.0009985204,0.0001219692,0.0000731479,0.00006032084,0.0001608822,0.0002485249,0.000287361,0.000258742,0.00006868646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001308854,"about_ca_system_score_gemma":0.0000845212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003521041,"about_ca_topic_score_gemma":0.0004386532,"domain_scores_codex":[0.9999297,0.00001658441,0.000003606544,0.0000167937,0.00001953577,0.00001380769],"domain_scores_gemma":[0.9998015,0.0001107951,0.00003190246,0.00001684734,0.00001477786,0.00002418818],"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":[0.0005421793,0.00002902969,0.001123491,0.0000688619,0.000004961775,0.00005490003,0.0001016948,0.00007647087,0.9909214,0.0002893068,0.00005151354,0.006736144],"study_design_scores_gemma":[0.0005784242,0.005923284,0.5460805,0.00009493677,0.000128501,0.0008550798,0.0003346166,0.00822356,0.4299878,0.002497909,0.005234978,0.00006047701],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969406,0.00021268,0.001273937,0.00002591133,0.00001041785,0.0000165285,0.00002557636,0.00002062328,0.001473624],"genre_scores_gemma":[0.9983764,0.0001235322,0.001094755,0.00002687072,0.00000511879,0.000008940288,0.00002853301,0.000006105125,0.000329767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001917169,"threshold_uncertainty_score":0.006413639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06109987282042022,"score_gpt":0.351324680620815,"score_spread":0.2902248078003948,"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."}}