{"id":"W2139305238","doi":"10.1007/s10633-008-9121-1","title":"A comparison of signal detection techniques in the multifocal electroretinogram","year":2008,"lang":"en","type":"article","venue":"Documenta Ophthalmologica","topic":"Retinal Development and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"SIGNAL (programming language); Sensitivity (control systems); Attenuation; Detection theory; Artificial intelligence; Computer science; Pattern recognition (psychology); Optics; Detector; Physics; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001887554,0.0001117463,0.0001339928,0.00004381743,0.00007793361,0.000007960072,0.0002183676,0.0001080659,0.0000382849],"category_scores_gemma":[0.00002698583,0.00007753055,0.00006580821,0.0001394809,0.0001363108,0.000003691871,0.0000493287,0.0001037894,0.000003470392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000969246,"about_ca_system_score_gemma":0.00001939486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003877914,"about_ca_topic_score_gemma":0.000005728058,"domain_scores_codex":[0.9991353,0.0001132207,0.0002306226,0.000195958,0.00014122,0.0001837493],"domain_scores_gemma":[0.9997092,0.0000180508,0.00008430544,0.0001433615,0.00002554377,0.00001952257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003335318,0.0003999392,0.4120562,0.000009882587,0.00001803519,0.00002865824,0.0003158051,0.000006573986,0.5813126,0.00003521455,0.000518495,0.004965091],"study_design_scores_gemma":[0.0003230308,0.001534282,0.1290999,0.00000643144,0.000005721561,0.0002978468,0.0004361906,0.00002511855,0.8647537,0.0001726204,0.003181396,0.0001638191],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941649,0.0002030815,0.0002807803,0.00005349143,0.00001881158,0.0002537998,9.768044e-7,0.000009793304,0.005014325],"genre_scores_gemma":[0.9989013,0.00007199973,0.0007638617,0.00006509015,0.00002431638,0.0000657373,0.00004099638,0.00000578768,0.00006092829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2834411,"threshold_uncertainty_score":0.3161604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02783249029704017,"score_gpt":0.329029723674668,"score_spread":0.3011972333776278,"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."}}