{"id":"W3035441003","doi":"10.1002/jsp2.1099","title":"Protocol for parallel proteomic and metabolomic analysis of mouse intervertebral disc tissues","year":2020,"lang":"en","type":"article","venue":"JOR Spine","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada Foundation for Innovation","keywords":"Metabolomics; Protocol (science); Proteomics; Computational biology; Tissue sample; Modalities; Omics; Intervertebral disc; Computer science; Bioinformatics; Quantitative proteomics; Sample (material); Biology; Pathology; Medicine; Chemistry; Anatomy; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002372464,0.002158359,0.001320317,0.003596158,0.00227803,0.001014148,0.001802187,0.001252899,0.0229691],"category_scores_gemma":[0.001849781,0.00154879,0.001602162,0.001764721,0.0008386301,0.0008170074,0.001460397,0.004082779,0.01288212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007138018,"about_ca_system_score_gemma":0.001927222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009722424,"about_ca_topic_score_gemma":0.003879526,"domain_scores_codex":[0.9974008,0.0004644512,0.0004131994,0.0006102828,0.000811501,0.0002998413],"domain_scores_gemma":[0.9981337,0.0003019102,0.0001688045,0.0005725098,0.0005874105,0.0002356305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001033201,0.0004471083,0.0006890013,0.0009656472,0.000104245,0.0007514753,0.0003132251,0.0008295109,0.9601711,0.003779867,0.01251904,0.01839645],"study_design_scores_gemma":[0.0007383737,0.002155949,0.01411314,0.0006677671,0.0003262062,0.001955155,0.0002333339,0.00663626,0.5580439,0.004405977,0.4104137,0.0003102356],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.04109414,0.002728088,0.8668813,0.000811487,0.001247457,0.03256868,0.03190397,0.007049956,0.01571501],"genre_scores_gemma":[0.04442509,0.004221677,0.7406915,0.001360688,0.0003510306,0.1236872,0.05791549,0.001333391,0.02601388],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.0229691,"threshold_uncertainty_score":0.07683927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02818858758823417,"score_gpt":0.319423360089782,"score_spread":0.2912347725015478,"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."}}