{"id":"W3173980116","doi":"","title":"연구논문 : 유전적 형질에 의한 북태평양 연어(Oncorhynchus keta)의 계군 구분","year":2003,"lang":"ko","type":"article","venue":"한국수산과학회지","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oncorhynchus; Haplotype; Biology; Allele; Fishery; Geography; Genetics; Fish <Actinopterygii>; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001632898,0.0002068037,0.0001533575,0.0001973852,0.0006111766,0.0002213598,0.0001492465,0.0001263397,0.005848042],"category_scores_gemma":[0.00008106483,0.0001259108,0.0001841933,0.0001625762,0.0002812334,0.0002095849,0.0002873947,0.0002843647,0.002836653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003630124,"about_ca_system_score_gemma":0.0003062767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01009406,"about_ca_topic_score_gemma":0.02701356,"domain_scores_codex":[0.9998862,0.000007042578,0.000007261935,0.00003453616,0.00003506781,0.00002994784],"domain_scores_gemma":[0.9999157,0.000004286708,0.0000136761,0.000005748154,0.00002326531,0.00003724337],"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":[0.003248532,0.001731531,0.3707202,0.000329095,0.0002494319,0.003045705,0.001100032,0.0002211725,0.4151209,0.002013968,0.03046685,0.1717527],"study_design_scores_gemma":[0.0001256067,0.001324322,0.933461,0.0000292949,0.0001389529,0.001868229,0.001104432,0.0004814836,0.01836992,0.0002611746,0.04278111,0.00005448517],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933223,0.0001395684,0.0003711092,0.0001857009,0.00009852885,0.00006083283,0.0006694038,0.00004559528,0.005106954],"genre_scores_gemma":[0.9166415,0.0003754484,0.002485954,0.0005422668,0.00005238498,0.0001526487,0.003086043,0.00003539222,0.07662848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01009406,"threshold_uncertainty_score":0.02007061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01001724271106746,"score_gpt":0.2323526122799587,"score_spread":0.2223353695688912,"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."}}