{"id":"W2117413400","doi":"10.1002/bmc.906","title":"Determination of glucosamine in horse plasma by liquid chromatography tandem mass spectrometry","year":2007,"lang":"en","type":"article","venue":"Biomedical Chromatography","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Cegep de Saint Hyacinthe","funders":"","keywords":"Glucosamine; Chemistry; Chromatography; Formic acid; Protein precipitation; Bioanalysis; Tandem mass spectrometry; Mass spectrometry; Biochemistry","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":[0.0009241694,0.001334701,0.0007191902,0.001520681,0.0005347828,0.0006873384,0.0005958138,0.0009685364,0.0009636217],"category_scores_gemma":[0.001156348,0.0002654415,0.0004071397,0.0009817895,0.0005715698,0.0004267248,0.0005011356,0.0006836359,0.0008829769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004719349,"about_ca_system_score_gemma":0.00086184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002115102,"about_ca_topic_score_gemma":0.004734428,"domain_scores_codex":[0.9983046,0.0002768901,0.0001130919,0.0003859788,0.0008058909,0.000113591],"domain_scores_gemma":[0.9995141,0.00007382799,0.0001161224,0.00003206707,0.0002170128,0.00004683511],"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":[0.0002214553,0.00005861907,0.001940418,0.0002389088,0.00004797028,0.0001895843,0.00008602364,0.0000960914,0.9822028,0.0001336536,0.0002775347,0.01450698],"study_design_scores_gemma":[0.00006623679,0.001294608,0.02585997,0.0001974136,0.0001536455,0.001659442,0.0001474757,0.006338154,0.9491677,0.0006063776,0.01440619,0.0001028653],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7189375,0.03958729,0.2196671,0.0005692336,0.0005759985,0.001493657,0.005210119,0.002727928,0.01123119],"genre_scores_gemma":[0.694419,0.02079988,0.2654164,0.001647332,0.0002442504,0.001633127,0.00502352,0.0003567184,0.01045985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002115102,"threshold_uncertainty_score":0.004887521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007767666796253693,"score_gpt":0.2495720204970656,"score_spread":0.2418043537008119,"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."}}