{"id":"W1966895287","doi":"10.1167/iovs.10-6417","title":"Author Response: Signal/Noise Ratios to Compare Tests for Measuring Visual Field Progression","year":2010,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Noise (video); SIGNAL (programming language); Visual field; Field (mathematics); Computer science; Acoustics; Artificial intelligence; Optics; Physics; Mathematics","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":[0.005451635,0.00104376,0.0009949043,0.001033042,0.0006592334,0.0008579865,0.0009296422,0.004001179,0.09296941],"category_scores_gemma":[0.04382912,0.0001923102,0.0007633418,0.0004859822,0.0006792144,0.0006137385,0.0006683478,0.001896569,0.0206489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004924968,"about_ca_system_score_gemma":0.000482679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000382099,"about_ca_topic_score_gemma":0.0006129731,"domain_scores_codex":[0.9956226,0.00183448,0.0006381625,0.0004816474,0.001184413,0.0002387611],"domain_scores_gemma":[0.963615,0.02668788,0.0009696395,0.001338094,0.006442803,0.000946507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01631503,0.001322764,0.01952087,0.002328294,0.0005705322,0.003052365,0.0005891797,0.0007881225,0.03579613,0.007532527,0.6573676,0.2548167],"study_design_scores_gemma":[0.003186925,0.01112654,0.1144524,0.001693512,0.0007841524,0.02349799,0.003161385,0.005017651,0.08617792,0.02530519,0.7251226,0.0004737564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.2188255,0.0110035,0.06163783,0.3160883,0.1496954,0.003046652,0.01430643,0.005216446,0.22018],"genre_scores_gemma":[0.521405,0.001940675,0.03448634,0.1483885,0.01248232,0.002218519,0.003933979,0.001747021,0.2733976],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.09296941,"threshold_uncertainty_score":0.3110137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1604007896280277,"score_gpt":0.4450116622155587,"score_spread":0.284610872587531,"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."}}