{"id":"W4306673453","doi":"10.3390/vision6040062","title":"Reliable, Fast and Stable Contrast Response Function Estimation","year":2022,"lang":"en","type":"article","venue":"Vision","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"CRFS; Contrast (vision); Poisson distribution; Duration (music); Spike (software development); Set (abstract data type); Computer science; Statistics; Mathematics; Artificial intelligence; Pattern recognition (psychology); Conditional random field","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000517102,0.0000669,0.00006483873,0.00009300836,0.0006678179,0.0000845402,0.00005925273,0.00002367332,0.0008284894],"category_scores_gemma":[0.0001743774,0.00006512947,0.0000136204,0.0002461695,0.00002482925,0.0002318956,0.00007553426,0.0001221908,0.00006682854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004007722,"about_ca_system_score_gemma":0.0000245617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005922362,"about_ca_topic_score_gemma":4.031228e-7,"domain_scores_codex":[0.9990514,0.0002004832,0.0001119047,0.0002547892,0.0002594948,0.0001219523],"domain_scores_gemma":[0.999693,0.00008530882,0.00005284184,0.0001049266,0.00001554085,0.00004837492],"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":[0.000923912,0.0000454169,0.00001035496,0.00000719425,3.138477e-7,0.000002380884,0.0001953949,0.001236633,0.9488942,0.0006546123,0.001237227,0.04679235],"study_design_scores_gemma":[0.002626042,0.005491239,0.008307476,0.00006037421,0.0000257405,0.0001388639,0.001184367,0.6938055,0.1970468,0.00952433,0.08122952,0.0005597572],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9634577,0.0000251907,0.03423068,0.0005672859,0.0004422086,0.0001557174,0.00001383225,0.0001533371,0.0009540598],"genre_scores_gemma":[0.9954164,0.000008910499,0.0003427913,0.001019413,0.00001449748,0.00001735821,0.000005416614,0.00001094816,0.003164244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7518474,"threshold_uncertainty_score":0.9071378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03033554312721178,"score_gpt":0.3081905401057173,"score_spread":0.2778549969785055,"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."}}