{"id":"W7028882081","doi":"","title":"Genetic mapping of quantitative trait loci influencing growth, development and morphology in Atlantic salmon (Salmo salar, L.)","year":2003,"lang":"en","type":"other","venue":"OpenGrey (Institut de l'Information Scientifique et Technique)","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quantitative trait locus; Salmo; Backcrossing; Morphology (biology); Phenotype; Genetic variation; Quantitative genetics; Phenotypic trait; Trait; Adaptation (eye)","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":[0.0002648331,0.0002280105,0.0001669305,0.0005665554,0.0001749908,0.0002118696,0.0001970448,0.0001899156,0.0003774277],"category_scores_gemma":[0.0002222226,0.000223009,0.0002723311,0.0003253539,0.0002804496,0.00006914695,0.0002759092,0.0002519224,0.0001367723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004683551,"about_ca_system_score_gemma":0.0005063834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01200633,"about_ca_topic_score_gemma":0.02916936,"domain_scores_codex":[0.999873,0.00002003059,0.00000707021,0.00003993585,0.00003552117,0.00002440324],"domain_scores_gemma":[0.9996783,0.0001173278,0.0001114728,0.00001126584,0.00003517147,0.00004654089],"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":[0.0002492133,0.00005692417,0.01531485,0.00003210559,0.00002123708,0.00008541143,0.0001907089,0.0001816951,0.9797309,0.00006546061,0.00002045301,0.004050934],"study_design_scores_gemma":[0.00005270519,0.0007565118,0.9684267,0.00001202783,0.00005006395,0.0001760321,0.0002101162,0.0007686084,0.0290164,0.00005719921,0.0004587411,0.0000148152],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992085,0.00007423079,0.00033781,0.00001400201,0.000001556231,0.000008227745,0.0001489671,0.000006266768,0.00020049],"genre_scores_gemma":[0.9967989,0.0001650472,0.001285801,0.00003964371,0.000003173604,0.0000384394,0.0005424301,0.00001070521,0.001115743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01200633,"threshold_uncertainty_score":0.02387291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02142778047727205,"score_gpt":0.2722821648471088,"score_spread":0.2508543843698368,"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."}}