{"id":"W1970817082","doi":"10.1037/1196-1961.62.3.150","title":"The magnitude of binocular disparity modulates search time for targets defined by a conjunction of depth and colour.","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Binocular disparity; Conjunction (astronomy); Stereoscopy; Stereopsis; Partition (number theory); Plane (geometry); Magnitude (astronomy); Depth perception; Feature (linguistics); Artificial intelligence; Mathematics; Computer vision; Geometry; Psychology; Computer science; Perception; Physics; Combinatorics; Astrophysics","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":[0.0006885274,0.0002348163,0.0004064323,0.0002455695,0.0004847471,0.00002931821,0.0005399092,0.000175917,0.0001431153],"category_scores_gemma":[0.000297795,0.0002075533,0.000152564,0.0002529786,0.001095234,0.0001636155,0.00002653584,0.0002631284,0.000005755305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002551506,"about_ca_system_score_gemma":0.000255198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001632502,"about_ca_topic_score_gemma":0.003026119,"domain_scores_codex":[0.9978997,0.000213931,0.0006375206,0.0004129811,0.0001159031,0.0007200241],"domain_scores_gemma":[0.9982291,0.0001914855,0.0004174974,0.0003006682,0.0001515535,0.0007097216],"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":[0.0003436161,0.0002167303,0.002829277,0.0000175223,0.00003247982,0.00004213293,0.001858237,0.000009958895,0.9871668,0.0002886689,0.006407358,0.0007872732],"study_design_scores_gemma":[0.003300053,0.003183437,0.01222604,0.00006841037,0.00003189487,0.001803681,0.001966336,0.0002639844,0.9737847,0.0009147971,0.002123618,0.0003330556],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951664,0.00185402,0.0003726872,0.0006910363,0.0007170507,0.0003928105,0.0001295598,0.00001023984,0.0006661788],"genre_scores_gemma":[0.9974102,0.000149243,0.001314673,0.0007624724,0.00005496042,0.00002506608,0.00001070729,0.00003189226,0.0002408134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01338205,"threshold_uncertainty_score":0.8463777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06954113478331939,"score_gpt":0.3316276848987028,"score_spread":0.2620865501153834,"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."}}