{"id":"W3106690990","doi":"10.18286/1816-4501-2020-2-180-186","title":"INDIRECT SELECTION OF FEMALE TROUT AS A SELECTION METHOD TO INCREASE THEIR PRODUCTIVITY AND RESISTANCE","year":2020,"lang":"en","type":"article","venue":"Vestnik of Ulyanovsk state agricultural academy","topic":"Food Industry and Aquatic Biology","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trout; Biology; Rainbow trout; Hemoglobin; Flock; Animal science; Selection (genetic algorithm); Zoology; Body weight; Ecology; Fish <Actinopterygii>; Biochemistry; Fishery; Endocrinology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004429822,0.0002307719,0.0004377844,0.000020094,0.0001371775,0.00001914546,0.0001929081,0.0002029853,0.0000598568],"category_scores_gemma":[0.0002777731,0.00008546729,0.00007797247,0.001157395,0.0000864456,0.0002367883,0.00008684451,0.00034097,0.000008008587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002339223,"about_ca_system_score_gemma":0.00001489312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003010837,"about_ca_topic_score_gemma":0.0002372972,"domain_scores_codex":[0.9981865,0.0004126199,0.0004082129,0.0005079218,0.0001903552,0.0002943867],"domain_scores_gemma":[0.9990906,0.0002616772,0.0002986727,0.00002567,0.0001145817,0.0002088349],"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":[0.000358141,0.00006624523,0.006072125,0.0000412868,0.0000430264,3.287499e-7,0.0005064417,0.0000165727,0.9716319,0.0001793061,0.00053752,0.02054708],"study_design_scores_gemma":[0.00016816,0.00133635,0.3482211,0.0000436357,0.00002815261,0.00002014103,0.000465116,0.00002026687,0.6420335,0.0004744323,0.006952024,0.0002371869],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896407,0.0001021099,0.00002170216,0.009274866,0.00002238269,0.00045797,0.0000771125,0.00006242924,0.0003406889],"genre_scores_gemma":[0.9975663,0.00002711338,0.001480168,0.0003138004,0.0002197743,0.00002306179,0.00002216726,0.000001614329,0.0003459408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.342149,"threshold_uncertainty_score":0.3485255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03493375377006621,"score_gpt":0.2581961371789248,"score_spread":0.2232623834088586,"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."}}