{"id":"W1970671257","doi":"10.1167/iovs.12-10033","title":"The Use of Fluorescent Quenching in Studying the Contribution of Evaporation to Tear Thinning","year":2012,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Ocular Surface and Contact Lens","field":"Medicine","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Eye Institute","keywords":"Fluorescein; Fluorescence; Quenching (fluorescence); Evaporation; Chemistry; Intensity (physics); Analytical Chemistry (journal); Thinning; Materials science; Optics; Chromatography; Biology; Physics","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":[0.002453825,0.00009426849,0.00019648,0.00009854352,0.0002663633,0.00001964676,0.0001794579,0.0000458941,0.000004905899],"category_scores_gemma":[0.003019086,0.00005380126,0.00003516426,0.0008194785,0.001299942,0.0003863634,0.0001172102,0.000209685,0.000004603032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001119413,"about_ca_system_score_gemma":0.0002449849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004727348,"about_ca_topic_score_gemma":0.00001682384,"domain_scores_codex":[0.9984826,0.0002705626,0.0003221313,0.0001733756,0.0004110079,0.000340254],"domain_scores_gemma":[0.9988113,0.0003756558,0.0001940666,0.0002070327,0.0002938353,0.0001181175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002951248,0.00005126911,0.4970802,0.000003153383,0.000007467068,0.000003753108,0.003193216,0.00006381536,0.498482,0.0008960125,0.000002100227,0.0001874993],"study_design_scores_gemma":[0.0001734589,0.0003138544,0.6416212,0.0001037725,0.0000153015,0.00001397954,0.001097114,0.0005769436,0.3558003,0.0001933556,0.00004247716,0.00004818608],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981216,0.0001583044,0.00002096883,0.0009874599,0.0001447233,0.0005108021,9.909123e-7,0.000005983343,0.00004920978],"genre_scores_gemma":[0.9992917,0.000003538963,0.0004531125,0.0001851791,0.00002802372,0.00002047532,0.000001229637,0.000004643166,0.00001213642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.144541,"threshold_uncertainty_score":0.478969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08547430409978435,"score_gpt":0.3667289515192979,"score_spread":0.2812546474195136,"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."}}