{"id":"W2902261134","doi":"10.1002/sdtp.12640","title":"7.2: <i>Invited Paper:</i> Quantification and Modulation of Stereopsis in Humans","year":2018,"lang":"en","type":"article","venue":"SID Symposium Digest of Technical Papers","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Stereopsis; Binocular vision; Optometry; Artificial intelligence; Depth perception; Psychology; Ocular dominance; Population; Binocular disparity; Ocular dominance column; Perception; Computer science; Computer vision; Visual cortex; Medicine; Neuroscience","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":[0.0001277574,0.0001435559,0.0002266201,0.000138709,0.00005643949,0.00001354701,0.0002136077,0.00008022833,0.00001796113],"category_scores_gemma":[0.0003551136,0.0001371573,0.00005639812,0.0003869387,0.0005959367,0.0001216928,0.00007846809,0.00008173651,0.00000296311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002284814,"about_ca_system_score_gemma":0.00001676138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002856294,"about_ca_topic_score_gemma":0.00008131754,"domain_scores_codex":[0.9984856,0.0001381055,0.00044895,0.0004621399,0.0002842713,0.0001809122],"domain_scores_gemma":[0.9990894,0.0001831688,0.0001870091,0.0004056582,0.00006798801,0.0000668345],"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":[0.00005281776,0.0001623849,0.01440309,0.00002947047,0.000001501727,7.286055e-7,0.00008083297,0.00009693407,0.984245,0.0008256725,0.00003369692,0.0000678873],"study_design_scores_gemma":[0.0002418528,0.0001963023,0.2649597,0.00002677551,0.000009498533,0.000001062803,0.0000165535,0.00002192495,0.7342266,0.00006552609,0.00013808,0.00009619524],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829969,0.0000192463,0.00000407595,0.001416714,0.00006738857,0.0003189355,0.0000268245,0.0000425917,0.01510734],"genre_scores_gemma":[0.9990969,0.00007808971,0.00004596892,0.0006891014,0.00002137418,0.00002201397,0.000005158769,0.00001790436,0.00002347845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2505566,"threshold_uncertainty_score":0.5593114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02311927395997559,"score_gpt":0.2700274280026839,"score_spread":0.2469081540427083,"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."}}