{"id":"W1605696394","doi":"10.1038/35071081","title":"The motor side of depth vision","year":2001,"lang":"en","type":"article","venue":"Nature","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":89,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada Research Chairs; York University; University of Toronto; Canadian Institutes of Health Research","funders":"National Eye Institute; University of Pennsylvania; Alfred P. Sloan Foundation; National Institutes of Health; National Science Foundation","keywords":"Geology; Computer science","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":[0.0003914346,0.0002860915,0.0003331342,0.0003368997,0.0005540705,0.001676237,0.0008214453,0.001973076,0.006912979],"category_scores_gemma":[0.001687345,0.0002788901,0.000381337,0.0002293252,0.001689966,0.003228313,0.0008878265,0.001474899,0.001334747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003530572,"about_ca_system_score_gemma":0.0004349677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000553901,"about_ca_topic_score_gemma":0.000353301,"domain_scores_codex":[0.9997113,0.00003951452,0.00000980208,0.00005768925,0.0001265774,0.00005513689],"domain_scores_gemma":[0.9996154,0.000122589,0.00005210793,0.00007549321,0.00008827919,0.00004608799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004231928,0.00003957728,0.0009736103,0.0003931328,0.00004335825,0.0005354236,0.0004488748,0.001708611,0.1745597,0.6636044,0.01090754,0.1463626],"study_design_scores_gemma":[0.000152583,0.0003773743,0.01698496,0.0002123622,0.00007073217,0.002837857,0.0003473365,0.01607194,0.07313899,0.8021293,0.08758162,0.00009497372],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1756168,0.05633467,0.4047382,0.0545088,0.006471411,0.0000945279,0.0009116266,0.001386502,0.2999376],"genre_scores_gemma":[0.9283952,0.008980838,0.02750416,0.002699435,0.001388244,0.00006853695,0.0001771587,0.0001361094,0.03065028],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006912979,"threshold_uncertainty_score":0.02312618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03024335826836315,"score_gpt":0.34983141910036,"score_spread":0.3195880608319968,"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."}}