{"id":"W3206872469","doi":"10.1002/pmic.202100146","title":"Proteomic analysis of the lake trout (<i>Salvelinus namaycush</i>) heart and blood: The beginning of a comprehensive lake trout protein database","year":2021,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kensington Health","funders":"U.S. Environmental Protection Agency","keywords":"Trout; Salvelinus; UniProt; Bioaccumulation; Database; Biology; Ecology; Fishery; Fish <Actinopterygii>; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001577796,0.0001508169,0.0003290622,0.0000222892,0.0001535327,0.00001856592,0.0002984263,0.00006509332,0.0002000409],"category_scores_gemma":[0.0001309301,0.00008268665,0.0001928081,0.0007721999,0.0005724999,0.00007248339,0.0005422491,0.0002237548,0.000008743773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001327203,"about_ca_system_score_gemma":0.00003117247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001087236,"about_ca_topic_score_gemma":0.0004362366,"domain_scores_codex":[0.998696,0.0001445654,0.0003395368,0.0003399507,0.0002719465,0.0002080481],"domain_scores_gemma":[0.9991663,0.00007884185,0.0002037071,0.0004450443,0.00004539315,0.00006068199],"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":[0.00002970236,0.0001349045,0.01109467,0.00002296562,0.0001294137,0.000001050121,0.000134013,0.0004325741,0.9878088,0.00007678376,0.00003740481,0.00009777164],"study_design_scores_gemma":[0.0004503996,0.00007187889,0.1784535,0.00005466688,0.0004310139,0.00000728179,0.0001369191,0.002479402,0.8162096,0.000814294,0.0007079082,0.0001831068],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973853,0.00005685603,0.000147822,0.001068622,0.00001485498,0.0008864098,0.0002931369,0.00001257457,0.0001344035],"genre_scores_gemma":[0.9903823,0.00001263743,0.008969643,0.0002955778,0.00001893325,0.0001315527,0.00004696076,0.000007637876,0.000134799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1715992,"threshold_uncertainty_score":0.3371864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01668111553698242,"score_gpt":0.22707535317659,"score_spread":0.2103942376396076,"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."}}