{"id":"W4211264070","doi":"10.1016/j.crphys.2022.02.004","title":"Regulation of collagen deposition in the trout heart during thermal acclimation","year":2022,"lang":"en","type":"article","venue":"Current Research in Physiology","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Extracellular matrix; Ventricle; Hydroxyproline; Cell biology; Fibrosis; Internal medicine; Mechanotransduction; Chemistry; Acclimatization; Anatomy; Biology; Endocrinology; Medicine; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005260491,0.00004570189,0.00008222192,0.00005519524,0.000152765,0.000004068075,0.000228855,0.00002134174,0.0004576183],"category_scores_gemma":[0.00003403556,0.00003168957,0.0000279595,0.0006074337,0.0001708791,0.00006516619,0.0002799184,0.0002235586,0.00002155665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001420706,"about_ca_system_score_gemma":0.000008623317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001052668,"about_ca_topic_score_gemma":0.00001834106,"domain_scores_codex":[0.9983909,0.0007462113,0.0001663074,0.000177639,0.0003027986,0.0002161318],"domain_scores_gemma":[0.9996563,0.0001614857,0.00003436693,0.0001227761,0.000007728709,0.00001731608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00005913534,0.0002500623,0.004095134,0.000009475052,5.663921e-7,2.902648e-7,0.0002327985,0.004916567,0.989273,0.0001376953,0.00009852903,0.0009268149],"study_design_scores_gemma":[0.0001886473,0.00009270141,0.9702712,0.000006021369,5.616486e-7,9.124743e-7,0.0001702049,0.001780807,0.02070213,0.006655777,0.00009227638,0.0000387381],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988482,0.00004361318,0.000002064942,0.000458278,0.0000293475,0.0002614803,0.000005201602,0.000004034661,0.0003478058],"genre_scores_gemma":[0.9996935,0.000009532138,0.00002355668,0.00001937014,0.00002334314,0.0001768505,0.00004595956,0.000001985895,0.000005895364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9685708,"threshold_uncertainty_score":0.50106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09546092539271472,"score_gpt":0.3636614475145702,"score_spread":0.2682005221218555,"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."}}