{"id":"W4402905630","doi":"10.1167/jov.24.10.1366","title":"The mechanisms of crossed and uncrossed disparities in coarse stereopsis","year":2024,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Topological and Geometric Data Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Stereopsis; Psychology; Computer science; Artificial intelligence","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":[0.000895834,0.00005269139,0.000159702,0.0002111759,0.00006042558,0.0003304202,0.0003870706,0.00003110466,0.000005779099],"category_scores_gemma":[0.0001280583,0.0000261775,0.00007182009,0.0006924742,0.00007304655,0.0003708405,0.0001610348,0.0001222429,0.000001471119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001245348,"about_ca_system_score_gemma":0.00002495778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000370775,"about_ca_topic_score_gemma":0.00001345848,"domain_scores_codex":[0.9991642,0.00005133918,0.0003329345,0.00009427005,0.0002577734,0.00009954704],"domain_scores_gemma":[0.9992244,0.0004286948,0.0001119296,0.000138063,0.00005625589,0.00004062773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001254901,0.0002980781,0.003222596,0.0001008779,0.0001848566,0.0004418139,0.001086961,0.0002676062,0.02081623,0.305641,0.004750365,0.6630641],"study_design_scores_gemma":[0.001761474,0.002749439,0.1873916,0.0005844197,0.0001086152,0.0002966084,0.00076337,0.1877551,0.01275853,0.5869918,0.01841592,0.0004230846],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6585898,0.007123349,0.3275642,0.005951688,0.0005681155,0.00005922109,0.000009419012,0.00001694476,0.0001172623],"genre_scores_gemma":[0.9959862,0.0004893765,0.003293098,0.00005097044,0.00001614138,2.825076e-7,1.949122e-7,0.000001534899,0.0001621959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.662641,"threshold_uncertainty_score":0.318625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01191904790123862,"score_gpt":0.282974276077383,"score_spread":0.2710552281761444,"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."}}