{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000352045,0.0005240673,0.0003880892,0.001048679,0.0003879144,0.0005966554,0.0004782419,0.0004308636,0.0006431729],"category_scores_gemma":[0.0003802501,0.0002268456,0.0003578103,0.000698276,0.0002883204,0.0003438377,0.00046709,0.0006577016,0.0004810198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004057644,"about_ca_system_score_gemma":0.0004830011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001384867,"about_ca_topic_score_gemma":0.002767146,"domain_scores_codex":[0.9996631,0.00002864071,0.00002472117,0.0001114937,0.0001318505,0.00004023356],"domain_scores_gemma":[0.9998555,0.0000284956,0.0000281408,0.00001376677,0.00005354939,0.00002059803],"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":[0.00002380986,0.000011108,0.000318357,0.00004761001,0.000007128523,0.0000324379,0.00002025895,0.00003657942,0.9967643,0.00008660457,0.00005605338,0.002595852],"study_design_scores_gemma":[0.00001823573,0.0002799809,0.03171887,0.00003065071,0.00006478702,0.0007352965,0.000174346,0.007131161,0.9487768,0.0006461412,0.01038204,0.0000416216],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7255394,0.004759766,0.2546688,0.0005621969,0.0002422169,0.0007208875,0.006723959,0.001334082,0.005448794],"genre_scores_gemma":[0.6665363,0.005675288,0.3062792,0.0007460641,0.00009735054,0.00104429,0.009760768,0.0002911156,0.009569714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001384867,"threshold_uncertainty_score":0.002943993,"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."}}