{"id":"W4400366657","doi":"10.1007/s40572-024-00454-7","title":"Tear Fluid as a Matrix for Biomonitoring Environmental and Chemical Exposures","year":2024,"lang":"en","type":"review","venue":"Current Environmental Health Reports","topic":"Ocular Surface and Contact Lens","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Biomonitoring; Environmental chemistry; Environmental health; Environmental science; Chemistry; Medicine","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":[0.0006883125,0.001075046,0.001016067,0.002887975,0.0001973231,0.001301632,0.0004847851,0.0009176032,0.003222486],"category_scores_gemma":[0.0008144346,0.0002330085,0.0005046742,0.001795227,0.0004478285,0.000822024,0.0007293536,0.0007713164,0.001082697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003017091,"about_ca_system_score_gemma":0.001079323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001696823,"about_ca_topic_score_gemma":0.002838353,"domain_scores_codex":[0.9996808,0.00005348047,0.00005122978,0.00005723244,0.0001364338,0.00002079715],"domain_scores_gemma":[0.9995638,0.0002304918,0.00007459062,0.00001248905,0.0001008167,0.00001786072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006803265,0.00006602534,0.0005303907,0.0276764,0.0001682755,0.0002146809,0.00006582653,0.0002273474,0.005530752,0.001891742,0.0119737,0.9515868],"study_design_scores_gemma":[0.00002258086,0.0002042729,0.002226011,0.0081082,0.0006601387,0.001446436,0.0002201751,0.0001389243,0.005229152,0.001436544,0.9802731,0.00003441646],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002171076,0.9983454,0.0002257778,0.0001191373,0.0001745616,0.000007754396,0.00004781765,0.000006864978,0.0008555593],"genre_scores_gemma":[0.001527086,0.9970347,0.0003696037,0.00009843367,0.0001304739,0.00000935857,0.00004605361,0.000001258735,0.000782977],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003222486,"threshold_uncertainty_score":0.01078033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04226472066765107,"score_gpt":0.4032666393116535,"score_spread":0.3610019186440024,"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."}}