{"id":"W2137035371","doi":"10.1364/josaa.19.000158","title":"Structural modeling of contrast sensitivity in adulthood","year":2002,"lang":"en","type":"article","venue":"Journal of the Optical Society of America A","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Contrast (vision); Sensitivity (control systems); Filter (signal processing); Spatial frequency; Visual acuity; Mathematics; Audiology; Statistics; Psychology; Optics; Artificial intelligence; Computer science; Physics; Medicine; Computer vision","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007226494,0.001000829,0.0008234442,0.001679395,0.0006061933,0.001011292,0.001295196,0.0008057162,0.002137352],"category_scores_gemma":[0.01549703,0.0006940551,0.001953554,0.001311862,0.0007173578,0.0008721245,0.001535875,0.001682099,0.0002871296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001394862,"about_ca_system_score_gemma":0.001345886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02477179,"about_ca_topic_score_gemma":0.02089388,"domain_scores_codex":[0.9977033,0.001260805,0.0001170934,0.0004672402,0.0002187967,0.0002327472],"domain_scores_gemma":[0.9953818,0.0024524,0.0008273062,0.0005449897,0.0005831388,0.0002104475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005759283,0.0005102028,0.789166,0.0001276998,0.002032477,0.0007017123,0.004787127,0.1104302,0.001477076,0.03534194,0.003856128,0.05099347],"study_design_scores_gemma":[0.0001069569,0.0004970446,0.2270837,0.0001087013,0.0005119414,0.000512255,0.0008312907,0.7137645,0.0006670592,0.0522247,0.003613303,0.00007845159],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.912557,0.0005501123,0.08252555,0.001263308,0.00006571177,0.0001257064,0.001583069,0.0001926545,0.001136933],"genre_scores_gemma":[0.9859504,0.0001666094,0.01237863,0.00004233205,0.00001333957,0.0001332818,0.0007686483,0.00001884454,0.0005279518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02477179,"threshold_uncertainty_score":0.04925519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05017314596126952,"score_gpt":0.2953684500574689,"score_spread":0.2451953040961994,"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."}}