{"id":"W4396242119","doi":"10.1167/jov.24.4.24","title":"Stereoscopic slant contrast revisited","year":2024,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Glaucoma and retinal disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal General Hospital","funders":"McGill University","keywords":"Contrast (vision); Stereoscopy; Geology; Computer science; Computer vision","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":[0.0002817588,0.0002083123,0.0002722268,0.0005810332,0.0002204604,0.0006843578,0.0005444078,0.0004049879,0.001992621],"category_scores_gemma":[0.002357141,0.0001489626,0.0003093834,0.0004001258,0.001136621,0.001037682,0.001045976,0.001135549,0.0001552061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004249788,"about_ca_system_score_gemma":0.0002184228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001016203,"about_ca_topic_score_gemma":0.0007163088,"domain_scores_codex":[0.9995976,0.00004992592,0.00001701702,0.00007113615,0.000203539,0.00006081291],"domain_scores_gemma":[0.9993326,0.0002797858,0.0001266404,0.0001036681,0.0001186244,0.00003857814],"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":[0.001194145,0.00007050017,0.01793873,0.0002980481,0.00009000201,0.001665875,0.0009204975,0.003908084,0.7721679,0.07026514,0.0008368347,0.1306443],"study_design_scores_gemma":[0.0001472044,0.001217886,0.2613763,0.0001815627,0.0001924696,0.0128488,0.001095634,0.04244544,0.544457,0.1166286,0.01923715,0.0001720554],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9302278,0.00203575,0.03477423,0.0006020483,0.0001118547,0.00002208484,0.00009254158,0.0001399824,0.03199363],"genre_scores_gemma":[0.9976535,0.000209555,0.00143929,0.00007673977,0.00001875663,0.000004238646,0.00001938188,0.00002084604,0.0005576698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001992621,"threshold_uncertainty_score":0.006665945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009270418999237529,"score_gpt":0.3038267339817066,"score_spread":0.294556314982469,"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."}}