{"id":"W2130286982","doi":"10.1117/12.872141","title":"The effect of crosstalk on depth magnitude in thin structures","year":2011,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Crosstalk; Stereoscopy; Perception; Computer science; Workload; Depth perception; Artificial intelligence; Computer vision; Optics; Physics; Psychology","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":[0.0003707968,0.0004344543,0.0001616641,0.0004380897,0.0002764537,0.0005660575,0.0002415046,0.0003846322,0.002109732],"category_scores_gemma":[0.003334949,0.0002460069,0.0002477506,0.000176638,0.0004311378,0.000843309,0.001087943,0.0005077595,0.00014468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003516813,"about_ca_system_score_gemma":0.000235067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005012194,"about_ca_topic_score_gemma":0.000421562,"domain_scores_codex":[0.9994443,0.0001061876,0.00003895513,0.00007173602,0.000272864,0.00006594435],"domain_scores_gemma":[0.9966866,0.002027993,0.0005591291,0.0001956747,0.0002983259,0.0002321765],"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":[0.0007779851,0.00005196303,0.004070421,0.0001663929,0.00002589139,0.000215013,0.0004411007,0.000898657,0.9790574,0.0003984876,0.00008280561,0.01381393],"study_design_scores_gemma":[0.00009720043,0.004021159,0.2711053,0.0001120313,0.0001998429,0.002136662,0.001084846,0.01067598,0.7067216,0.002199546,0.001562822,0.00008298951],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992949,0.0002362576,0.005028436,0.00004480965,0.00001557777,0.00001401805,0.00003590403,0.00003844413,0.001637467],"genre_scores_gemma":[0.9967258,0.0001598146,0.002706266,0.00006104663,0.000008228148,0.000007862653,0.0000417565,0.00001189282,0.0002773709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002109732,"threshold_uncertainty_score":0.007057786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02551503221750372,"score_gpt":0.2755752161046386,"score_spread":0.2500601838871349,"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."}}