{"id":"W2016850085","doi":"10.1046/j.1471-8286.2002.00315.x","title":"PCR‐based markers detect genetic variation at growth and immune function‐related loci in chinook salmon (<i>Oncorhynchus tshawytscha</i>)","year":2002,"lang":"en","type":"article","venue":"Molecular Ecology Notes","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Biology; Oncorhynchus; Chinook wind; Restriction fragment length polymorphism; Allele; Genetics; Polymerase chain reaction; Microsatellite; Genetic variation; Immune system; Gene; Fish <Actinopterygii>; Fishery","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002061602,0.0001978565,0.0002261101,0.0001084278,0.0002507823,0.00001090523,0.0001261374,0.0001981686,0.002604813],"category_scores_gemma":[0.0001701411,0.000209344,0.00005109363,0.0002566116,0.0002649371,0.00008282399,0.0002680821,0.0001664087,0.0003589639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001551952,"about_ca_system_score_gemma":0.000003280209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001483207,"about_ca_topic_score_gemma":0.001824471,"domain_scores_codex":[0.9985763,0.000205652,0.0002805688,0.0004529358,0.0001144517,0.0003700926],"domain_scores_gemma":[0.9994674,0.0001741786,0.0001125523,0.0001912202,0.000005550584,0.00004915236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009655833,0.000171274,0.9703593,0.00002508069,0.0001256465,0.0001811444,0.0002071288,0.004816715,0.02141579,0.000078131,0.001151384,0.001371911],"study_design_scores_gemma":[0.001091389,0.0002703069,0.9883168,0.000003585558,0.00006995412,0.000008324973,0.000007023747,0.007218902,0.001351013,0.001313182,0.0001403072,0.0002092498],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897017,0.0003113876,0.001252544,0.001602622,0.0001352821,0.0004184624,0.000001714513,0.00006038726,0.00651584],"genre_scores_gemma":[0.9971946,0.0001001403,0.0007495352,0.001636323,0.000006302284,0.00008213229,0.0000102662,0.00001760181,0.0002031372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02006478,"threshold_uncertainty_score":0.9983069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004308710332677192,"score_gpt":0.1704147651520527,"score_spread":0.1661060548193755,"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."}}