{"id":"W4312580309","doi":"10.12968/opti.2017.6.155846","title":"A new look at tears","year":2017,"lang":"en","type":"article","venue":"Optician","topic":"Ocular Surface and Contact Lens","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Tears; Medicine; Surgery","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":[0.001796762,0.001565477,0.00116337,0.004050185,0.002232983,0.003291693,0.001478201,0.006458929,0.02071254],"category_scores_gemma":[0.006751714,0.0006926915,0.001451453,0.0007223299,0.002112803,0.009165694,0.002784229,0.015676,0.005955722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000844062,"about_ca_system_score_gemma":0.001214921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002511741,"about_ca_topic_score_gemma":0.007166988,"domain_scores_codex":[0.9985942,0.0002964722,0.0001366782,0.0001633868,0.000610875,0.0001982754],"domain_scores_gemma":[0.9962373,0.0008034845,0.000212106,0.0002695772,0.001246063,0.001231459],"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":[0.0002608775,0.0001200233,0.004189434,0.0005789831,0.00009617719,0.017954,0.0007082081,0.0001015443,0.003588971,0.005296639,0.790985,0.1761201],"study_design_scores_gemma":[0.00007760595,0.0002585765,0.003020499,0.001483666,0.00006885014,0.09733766,0.00255378,0.0001668106,0.0006667927,0.005730606,0.8885391,0.00009609595],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.008621282,0.248589,0.01016324,0.4924957,0.1569658,0.0001524516,0.000219448,0.001026251,0.08176681],"genre_scores_gemma":[0.06061405,0.1932681,0.02295266,0.3437655,0.2102467,0.0001458793,0.0002410519,0.0008818769,0.1678842],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02071254,"threshold_uncertainty_score":0.06929028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01666185039839385,"score_gpt":0.2806862946024528,"score_spread":0.264024444204059,"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."}}