{"id":"W2893011609","doi":"10.1167/18.10.621","title":"Binocular integration of simultaneous density contrast","year":2018,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Optical Polarization and Ellipsometry","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Contrast (vision); Depth perception; Perception; Stereopsis; Plane (geometry); Texture (cosmology); Mathematics; Artificial intelligence; Geometry; Computer vision; Optics; Computer science; Physics; Psychology; Image (mathematics)","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":[0.0001325152,0.00004566036,0.0001167645,0.000101005,0.00001716943,0.00001233679,0.00005167109,0.00004959777,0.00004027976],"category_scores_gemma":[0.0001517945,0.00003523579,0.00004614007,0.0001316478,0.00003034801,0.0001127666,0.000005927943,0.0001000252,0.00002253363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002207472,"about_ca_system_score_gemma":0.000006867007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001176902,"about_ca_topic_score_gemma":0.000001336426,"domain_scores_codex":[0.9995095,0.00001223808,0.0002462063,0.00002792565,0.0001452976,0.00005883174],"domain_scores_gemma":[0.999526,0.00005147636,0.00006717327,0.00005471862,0.0002500265,0.00005058444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004210807,0.00006236884,0.0004042592,0.00002449369,0.00003250629,0.0000137554,0.0001593874,0.004951845,0.9601681,0.0003384388,0.0008760563,0.03292665],"study_design_scores_gemma":[0.001034096,0.001248065,0.01602454,0.0002711707,0.0000592047,0.00009432297,0.0001301182,0.5375316,0.4393979,0.0006422204,0.003385266,0.0001814923],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8485638,0.0001057323,0.1502022,0.00003469473,0.000384096,0.00002183769,8.128156e-7,0.00001298362,0.0006738643],"genre_scores_gemma":[0.9965935,0.00003650728,0.003167945,0.00002386812,0.0001547144,2.214142e-8,5.189893e-7,0.000006390028,0.00001652369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5325797,"threshold_uncertainty_score":0.1436874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006906948266391214,"score_gpt":0.2472967983323678,"score_spread":0.2403898500659766,"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."}}