{"id":"W7015453669","doi":"","title":"Targeted and Nontargeted Mass Spectrometry Analysis of Tear Fluid for Biomarker Discovery and Biomonitoring","year":2025,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Ocular Surface and Contact Lens","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Biomonitoring; Orbitrap; Mass spectrometry; Biomarker discovery; Sample preparation; Hydrophilic interaction chromatography; Bioanalysis; Biomarker; Gas chromatography–mass spectrometry","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":[0.001103064,0.001282725,0.0006678623,0.001583884,0.0005543148,0.001212336,0.0007205125,0.001215498,0.001158512],"category_scores_gemma":[0.001142874,0.0004324651,0.0009296834,0.0007110673,0.0005717414,0.0008994177,0.0008057546,0.001036073,0.0007365436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006094458,"about_ca_system_score_gemma":0.001567516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00094461,"about_ca_topic_score_gemma":0.002638452,"domain_scores_codex":[0.9986687,0.0002221563,0.0000761992,0.0003557005,0.000568546,0.0001086763],"domain_scores_gemma":[0.999466,0.0001374454,0.0001226849,0.00004502497,0.000186394,0.00004253595],"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":[0.00007720928,0.00004629957,0.001146546,0.0004527749,0.00005719148,0.0001344293,0.00006099083,0.0002562778,0.9828917,0.0003511153,0.0003589204,0.01416657],"study_design_scores_gemma":[0.00001575609,0.0002992674,0.003054026,0.00009148866,0.00008890866,0.0005295743,0.0001368883,0.004172086,0.9840806,0.0004345092,0.007059792,0.0000371905],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5573144,0.03751508,0.3861298,0.001401042,0.0007543724,0.001495865,0.00408219,0.001791789,0.009515458],"genre_scores_gemma":[0.6634604,0.03780869,0.2809151,0.00186125,0.0002972306,0.001543444,0.002384147,0.0003244467,0.01140535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001583884,"threshold_uncertainty_score":0.005833626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009888824526367582,"score_gpt":0.2329233730984623,"score_spread":0.2230345485720948,"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."}}