{"id":"W1966331651","doi":"10.1007/s004220000146","title":"Disparity tuning as simulated by a neural net","year":2000,"lang":"en","type":"article","venue":"Biological Cybernetics","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Formalism (music); Artificial intelligence; Artificial neural network; Coding (social sciences); Receptive field; Neural coding; Pattern recognition (psychology); Theoretical computer science; Algorithm; Mathematics; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003130701,0.0001948482,0.0004191218,0.0003900643,0.0004561859,0.0009047061,0.000759945,0.001541922,0.004650561],"category_scores_gemma":[0.00159099,0.0003135821,0.0003757768,0.0004455523,0.0006177874,0.0009289095,0.0006311006,0.0008022965,0.0002980775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007145273,"about_ca_system_score_gemma":0.0007192756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007153554,"about_ca_topic_score_gemma":0.00343411,"domain_scores_codex":[0.9999052,0.0000307645,0.000003942278,0.00001738761,0.00002096011,0.00002168361],"domain_scores_gemma":[0.9996015,0.0002261887,0.00002293781,0.00002894626,0.00005298302,0.00006743649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001941073,0.00007003067,0.0008590871,0.00003596323,0.00003304269,0.0001787849,0.00007989025,0.9444514,0.008399775,0.04113585,0.0005625145,0.003999493],"study_design_scores_gemma":[0.00001858143,0.00001161351,0.0001654529,0.000001574025,0.000004119635,0.00001095283,0.000005487153,0.9959733,0.00022535,0.003501957,0.00007768217,0.000004006177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8435481,0.0001842237,0.1278227,0.001447148,0.000210479,0.0000458783,0.0001955068,0.0005244554,0.02602138],"genre_scores_gemma":[0.9927351,0.00004254084,0.004881601,0.00005877061,0.00001124348,0.00001599332,0.00002180321,0.00002460598,0.002208293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007153554,"threshold_uncertainty_score":0.01555771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07615843730673241,"score_gpt":0.324445047380185,"score_spread":0.2482866100734526,"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."}}