{"id":"W2992662655","doi":"","title":"Developing a Subjective Tool to Assess Tearing","year":2005,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Ocular Surface and Contact Lens","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Queen's University","funders":"","keywords":"Tearing; Computer science; Materials science; Composite material","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":[0.006830651,0.000727193,0.0004418372,0.002423148,0.0004000451,0.001359807,0.0006419714,0.0007313291,0.002746595],"category_scores_gemma":[0.0195203,0.0002748118,0.0008889143,0.0006813201,0.0003704472,0.001529341,0.00124565,0.0006290457,0.001011437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004077144,"about_ca_system_score_gemma":0.0009531853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001063295,"about_ca_topic_score_gemma":0.002306398,"domain_scores_codex":[0.9960652,0.001189375,0.0007870349,0.0002883551,0.001512412,0.0001576255],"domain_scores_gemma":[0.9798251,0.00682696,0.001905564,0.001020528,0.0097439,0.000677927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001009788,0.001392748,0.3196054,0.001200941,0.0002946918,0.0003671012,0.003618537,0.001267569,0.06206682,0.001812949,0.009113456,0.59825],"study_design_scores_gemma":[0.0003505318,0.008882252,0.8013671,0.00134319,0.0008146122,0.005210822,0.009728279,0.02942777,0.08884051,0.003332959,0.05017507,0.0005269776],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6541291,0.0009026537,0.3151437,0.0006987191,0.0004882323,0.004280553,0.00190511,0.001375888,0.02107603],"genre_scores_gemma":[0.5693135,0.0007851873,0.4173726,0.0005724524,0.0001384533,0.002709877,0.002102795,0.0002118724,0.006793202],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.006830651,"threshold_uncertainty_score":0.03612435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08016766034821705,"score_gpt":0.3820953558465976,"score_spread":0.3019276954983806,"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."}}