{"id":"W1165342445","doi":"","title":"Supra–Threshold Contrast Matching With Aging and in Age–Related Maculopathy","year":2005,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Contrast (vision); Matching (statistics); Maculopathy; Ophthalmology; Medicine; Optics; Physics; Pathology; Endocrinology; Retinopathy","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":[0.001534797,0.0007494211,0.0006011855,0.002051397,0.0007115829,0.0008024671,0.0005820026,0.001191245,0.002483318],"category_scores_gemma":[0.007974807,0.0003008721,0.0003326249,0.001358938,0.0006955423,0.001449665,0.000631423,0.0007231561,0.0002545918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004043227,"about_ca_system_score_gemma":0.0005018211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001856828,"about_ca_topic_score_gemma":0.001235401,"domain_scores_codex":[0.9995118,0.00009692497,0.00009407092,0.000102432,0.000119208,0.00007557196],"domain_scores_gemma":[0.9957923,0.0006773462,0.002414029,0.0003608841,0.0003837102,0.0003717463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009795899,0.001229794,0.9217232,0.000178567,0.0002604208,0.01033203,0.0006944058,0.0004761126,0.01964949,0.001200046,0.0008379584,0.03362208],"study_design_scores_gemma":[0.0000390637,0.0009394186,0.9887186,0.00001044901,0.0000880435,0.006690418,0.0001328686,0.0004885909,0.001199873,0.001306048,0.0003744553,0.00001214178],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969702,0.001273553,0.0002920878,0.0001150175,0.00003647131,0.00001789247,0.0001562232,0.00001629138,0.001122275],"genre_scores_gemma":[0.9984965,0.0003479715,0.0002825243,0.00004374797,0.00009765958,0.00001038506,0.0001230688,0.000007196025,0.0005910177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002483318,"threshold_uncertainty_score":0.008307517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02372191162443492,"score_gpt":0.3330442838902853,"score_spread":0.3093223722658504,"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."}}