{"id":"W4310988715","doi":"10.3389/fphys.2022.1031264","title":"Skeletal muscle metabolism and contraction performance regulation by teneurin C-terminal-associated peptide-1","year":2022,"lang":"en","type":"article","venue":"Frontiers in Physiology","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium; York University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Contraction (grammar); Skeletal muscle; Metabolism; Terminal (telecommunication); Muscle contraction; Chemistry; Peptide; Biology; Cell biology; Endocrinology; Biochemistry; Internal medicine; Medicine; Computer science","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":[0.00008759091,0.0002879331,0.0001603772,0.000114737,0.0001075575,0.000199625,0.0001202144,0.0001925665,0.0009202447],"category_scores_gemma":[0.00008586561,0.00007620436,0.0001312964,0.00007948754,0.0001906704,0.000108968,0.0002132597,0.0003268091,0.0001834406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002585289,"about_ca_system_score_gemma":0.0001601167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007435916,"about_ca_topic_score_gemma":0.0009290901,"domain_scores_codex":[0.9999496,0.000008924077,0.000003350144,0.0000145625,0.000009445257,0.0000142349],"domain_scores_gemma":[0.9999564,0.000003676145,0.00001374981,0.000002036581,0.000006769027,0.00001740197],"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":[0.000298526,0.00002606397,0.0004541907,0.00005557255,0.000006667869,0.00008346948,0.00001218128,0.00008516757,0.9951395,0.00008004684,0.00009498547,0.00366369],"study_design_scores_gemma":[0.0001767584,0.001732454,0.2339442,0.00006539358,0.0001026948,0.0007775303,0.0002179784,0.005487975,0.7459612,0.0007783915,0.01071645,0.00003885097],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887544,0.0044904,0.002625223,0.0001886452,0.00004748485,0.00002889803,0.0002836612,0.00008679555,0.003494492],"genre_scores_gemma":[0.9927855,0.001659977,0.00181452,0.0001095858,0.00001418516,0.00003736846,0.0002602533,0.00001518026,0.003303533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009202447,"threshold_uncertainty_score":0.00307852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006858449271264733,"score_gpt":0.2291936052112036,"score_spread":0.2223351559399389,"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."}}