{"id":"W2011163417","doi":"10.1021/pr0501970","title":"Characterization of Human Tear Proteome Using Multiple Proteomic Analysis Techniques","year":2005,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Ocular Surface and Contact Lens","field":"Medicine","cited_by":148,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Proteome; Glycosylation; Proteomics; Computational biology; Biological fluids; Chemistry; Biomarker discovery; Chromatography; Bioinformatics; Biology; Biochemistry; Gene","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":[0.000408075,0.0006106657,0.0005115257,0.0008718789,0.0004698755,0.0005306056,0.0002965703,0.0003896763,0.001451796],"category_scores_gemma":[0.0004510808,0.0001288977,0.000502991,0.0006197238,0.0001523075,0.0004163236,0.0003381599,0.0004659012,0.0007496861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000201194,"about_ca_system_score_gemma":0.0002712376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006430715,"about_ca_topic_score_gemma":0.0008788162,"domain_scores_codex":[0.9996797,0.00004414557,0.00003476269,0.00008809059,0.0001189372,0.00003438201],"domain_scores_gemma":[0.9998143,0.00004382084,0.00002808752,0.00002141841,0.00007277209,0.00001949808],"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":[0.0001084435,0.00002768335,0.0008694984,0.0001078917,0.00001991701,0.0001115734,0.00003733321,0.00004337938,0.9919853,0.00003634909,0.00008920806,0.006563416],"study_design_scores_gemma":[0.00002205785,0.000461308,0.02369579,0.00003488925,0.00009654098,0.001799001,0.0001506998,0.002259062,0.9644696,0.0001920628,0.006792251,0.00002672912],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9027771,0.01504241,0.07409756,0.000550625,0.000158169,0.0004163735,0.003351639,0.0004235811,0.003182655],"genre_scores_gemma":[0.8314226,0.01362392,0.1389086,0.0004469054,0.0001330677,0.000582179,0.007706612,0.0001338098,0.007042281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001451796,"threshold_uncertainty_score":0.004856706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07986276021942393,"score_gpt":0.4080520240107023,"score_spread":0.3281892637912783,"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."}}