{"id":"W2808259825","doi":"10.1167/18.6.3","title":"Simultaneous density contrast and binocular integration","year":2018,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Contrast (vision); Binocular disparity; Stereoscopy; Artificial intelligence; Depth perception; Stereopsis; Texture (cosmology); Computer vision; Planar; Mathematics; Geometry; Optics; Computer science; Physics; Psychology; Computer graphics (images); Perception; Image (mathematics); 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":[0.0004767385,0.0003642696,0.0003434233,0.0005737347,0.0002540464,0.0006738819,0.0003999607,0.0003542441,0.002335649],"category_scores_gemma":[0.004666775,0.0003411355,0.0003116612,0.0002210009,0.0005787539,0.001090018,0.001797565,0.0004730862,0.0001229431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007275112,"about_ca_system_score_gemma":0.0003806342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001692335,"about_ca_topic_score_gemma":0.001276934,"domain_scores_codex":[0.9992896,0.000102964,0.00003923131,0.0001122595,0.0003384162,0.0001174373],"domain_scores_gemma":[0.9985754,0.0007407711,0.0002200842,0.0001368282,0.0001891109,0.0001376431],"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":[0.00131169,0.0001170108,0.01276506,0.0003285449,0.00005622118,0.0002537172,0.0003097696,0.002167173,0.8955874,0.009062906,0.0003844931,0.07765602],"study_design_scores_gemma":[0.0005239308,0.003150229,0.5578005,0.0001772155,0.0002231516,0.002087401,0.0005090109,0.05601116,0.3359597,0.03733238,0.006087649,0.0001377469],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9683455,0.0007925826,0.01826682,0.0001671186,0.0000506741,0.00006607516,0.0001341233,0.0001062615,0.01207077],"genre_scores_gemma":[0.9957659,0.0001118209,0.003598494,0.00006395812,0.0000130548,0.00002717468,0.00005799504,0.00002077321,0.0003407484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002335649,"threshold_uncertainty_score":0.007813513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03049149640451931,"score_gpt":0.337353765219328,"score_spread":0.3068622688148087,"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."}}