{"id":"W2993675976","doi":"","title":"Using corneal chemical detection thresholds to select subjects for ocular surface discrimination sensory panels.","year":2016,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Ocular and Laser Science Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Sensory system; Ophthalmology; Optometry; Audiology; Medicine; Psychology; Neuroscience","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001539784,0.0002008152,0.0002839246,0.0002398415,0.0003984742,0.00005231286,0.0003006955,0.0001349644,0.00003317518],"category_scores_gemma":[0.002296545,0.0001384654,0.0000849592,0.001401874,0.002880698,0.0004470744,0.0001566464,0.0001672049,0.00003414476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004521438,"about_ca_system_score_gemma":0.000761859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001028195,"about_ca_topic_score_gemma":0.0000039267,"domain_scores_codex":[0.9972025,0.0001299067,0.0002464091,0.0008428995,0.0007565158,0.0008217925],"domain_scores_gemma":[0.9981394,0.0002546417,0.0000827972,0.0002577622,0.000614271,0.0006511497],"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":[0.0001180877,0.00006882603,0.01597987,0.00002275519,0.000009526154,0.00006304555,0.0003426912,0.0000188251,0.9819987,0.00004775167,0.000004128246,0.001325773],"study_design_scores_gemma":[0.0005441737,0.001135845,0.03224853,0.00008897267,0.00002466822,0.0006657822,0.0001307181,0.004779924,0.9591262,0.001054726,0.00001200869,0.0001884906],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959438,0.00001863797,0.001908548,0.0008891778,0.0001794217,0.0008151585,0.000008845884,0.00004302304,0.0001933915],"genre_scores_gemma":[0.9947167,0.000001327185,0.004771415,0.0001609278,0.00009469546,0.00002986433,0.000002273295,0.00001771282,0.0002050664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02287257,"threshold_uncertainty_score":0.9998329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1224888743522888,"score_gpt":0.410167969622967,"score_spread":0.2876790952706781,"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."}}