{"id":"W4377097463","doi":"10.3389/fmars.2023.1176767","title":"Using reproductive hormones extracted from archived muscle tissue to assess maturity and reproductive status in porbeagles Lamna nasus","year":2023,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"National Oceanic and Atmospheric Administration; Arizona State University","keywords":"Biology; Oviparity; Sexual maturity; Reproductive biology; Testosterone (patch); Gonad; Hormone; Reproduction; Muscle tissue; Andrology; Physiology; Zoology; Endocrinology; Embryo; Ecology; Fishery; Embryogenesis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000344712,0.0003184346,0.0002371274,0.001132646,0.0002501608,0.0003712483,0.0002485782,0.0004943221,0.0005869044],"category_scores_gemma":[0.0004663717,0.000322265,0.0002268504,0.0004903096,0.0004245121,0.0003134255,0.0002469754,0.0002305731,0.0002168813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001959628,"about_ca_system_score_gemma":0.0001699695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002181003,"about_ca_topic_score_gemma":0.007496856,"domain_scores_codex":[0.9997877,0.00002148023,0.00001810729,0.00009824866,0.0000457141,0.00002862115],"domain_scores_gemma":[0.9997144,0.00002952181,0.0001558118,0.00001717318,0.00005659417,0.00002647019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006553447,0.0001623691,0.5931706,0.0001229726,0.0001062783,0.00068787,0.0007089115,0.0002050284,0.3846449,0.00006019929,0.0001130385,0.01936245],"study_design_scores_gemma":[0.000007758135,0.0006846786,0.9893361,0.00001657789,0.00006394935,0.0008559564,0.0004890688,0.0002130852,0.007845586,0.00003428454,0.0004426188,0.0000102113],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985582,0.0003402401,0.0005661556,0.00001345429,0.000005348646,0.00001389298,0.0002219445,0.000008434053,0.0002722915],"genre_scores_gemma":[0.9949457,0.0004338195,0.002819616,0.00008470689,0.00001351282,0.00005445512,0.0007101237,0.000008946605,0.0009291391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002181003,"threshold_uncertainty_score":0.004336596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0261644510141306,"score_gpt":0.2849633271055726,"score_spread":0.258798876091442,"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."}}