{"id":"W2104162831","doi":"10.1016/s0042-6989(02)00083-4","title":"Content and context of monocular regions determine perceived depth in random dot, unpaired background and phantom stereograms","year":2002,"lang":"en","type":"article","venue":"Vision Research","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; University of New South Wales","keywords":"Monocular; Context (archaeology); Imaging phantom; Texture (cosmology); Artificial intelligence; Computer vision; Depth perception; Monocular vision; Stereopsis; Optics; Computer science; Psychology; Physics; Perception; Image (mathematics); Geology; Neuroscience","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001841475,0.0001976978,0.0002821922,0.000512939,0.0001317109,0.000553958,0.0001908002,0.0002492149,0.001680802],"category_scores_gemma":[0.003240094,0.0002227899,0.0001352724,0.0002353328,0.0002573181,0.0005804551,0.0004258302,0.0003738309,0.0001495019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002438019,"about_ca_system_score_gemma":0.0002258914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008792627,"about_ca_topic_score_gemma":0.0008159459,"domain_scores_codex":[0.999893,0.00001901338,0.000006209378,0.00001874228,0.00003068369,0.00003239357],"domain_scores_gemma":[0.9989569,0.000586625,0.0001514247,0.00005268748,0.0001040809,0.000148216],"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":[0.001404443,0.00002554258,0.00238709,0.00004374671,0.000007997187,0.00005876117,0.00009699266,0.0007191431,0.9889107,0.0007484416,0.00004450156,0.005552684],"study_design_scores_gemma":[0.0002194633,0.001181875,0.5463139,0.00007453885,0.0002122568,0.001253135,0.0004456968,0.05024244,0.3963929,0.002757221,0.0008481077,0.00005840079],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959556,0.00009511923,0.002945453,0.00002077535,0.00000582747,0.00000819827,0.00008034906,0.00002652774,0.0008622285],"genre_scores_gemma":[0.9981877,0.0000761039,0.001297156,0.00001588531,0.000005458639,0.000005813618,0.00008268237,0.00004661629,0.0002824315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001680802,"threshold_uncertainty_score":0.005622804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4285073372304761,"score_gpt":0.4333464614297416,"score_spread":0.004839124199265521,"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."}}