{"id":"W4385419971","doi":"10.3390/biochem3030008","title":"Qualitative Shotgun Proteomics Strategy for Protein Expression Profiling of Fish Otoliths","year":2023,"lang":"en","type":"article","venue":"BioChem","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Memorial University of Newfoundland; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada","keywords":"Otolith; Biology; Proteomics; Gadus; Fish Proteins; Shotgun proteomics; Computational biology; Fish <Actinopterygii>; Fishery; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004224609,0.00008046233,0.0001073159,0.00002617556,0.00006102532,0.00001549805,0.0001771397,0.00006350013,0.0006318692],"category_scores_gemma":[0.0001519596,0.0000686105,0.00004445778,0.0002481756,0.0001155536,0.00008572541,0.0002005786,0.00006966948,0.00003791569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003654636,"about_ca_system_score_gemma":0.00002299082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000075035,"about_ca_topic_score_gemma":0.000008824384,"domain_scores_codex":[0.9990829,0.00004750237,0.0001713478,0.0002238952,0.0002330817,0.0002413014],"domain_scores_gemma":[0.9996524,0.000039848,0.00005908192,0.0001742972,0.00001864415,0.00005572456],"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":[0.0001086252,0.00004779411,0.002128286,0.0001444877,0.000005601563,0.000001365945,0.00130357,0.00001494904,0.9888003,0.0001992427,0.004293123,0.002952623],"study_design_scores_gemma":[0.0002280268,0.0001561816,0.000623368,0.00001365102,0.000001378706,2.215752e-7,0.002081537,0.0007295678,0.992064,0.001078674,0.002925481,0.00009792949],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764451,0.000001264587,0.0004822122,0.0002167567,0.00001571934,0.001551666,0.00005166143,0.00004207043,0.02119359],"genre_scores_gemma":[0.9790501,0.00000509885,0.01186969,0.00003198522,0.00004717987,0.001032927,0.00008319929,0.00002251454,0.007857327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01333626,"threshold_uncertainty_score":0.6918525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08216180361622204,"score_gpt":0.3651726426389735,"score_spread":0.2830108390227515,"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."}}