{"id":"W4381849735","doi":"10.1111/raq.12841","title":"Spawning induction for Latin American fishes","year":2023,"lang":"en","type":"article","venue":"Reviews in Aquaculture","topic":"Reproductive biology and impacts on aquatic species","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fondo para la Investigación Científica y Tecnológica; Agencia Nacional de Promoción Científica y Tecnológica; CYTED Ciencia y Tecnología para el Desarrollo; University of Ottawa","keywords":"Aquaculture; Biology; Spawn (biology); Hormone; Latin Americans; Reproduction; Introduced species; Fishery; Zoology; Ecology; Fish <Actinopterygii>; Endocrinology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004556941,0.0001223065,0.0002321124,0.00004372022,0.00005436539,0.00001143764,0.0001057987,0.00009537235,0.00001279159],"category_scores_gemma":[0.001130263,0.00008816832,0.00009179908,0.000312792,0.00008698757,0.000004382151,0.00003256045,0.00008223329,0.00005514661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001300548,"about_ca_system_score_gemma":0.00001620149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001344836,"about_ca_topic_score_gemma":0.00005666914,"domain_scores_codex":[0.9991331,0.00008856378,0.0002173863,0.0003172843,0.00004500604,0.0001986729],"domain_scores_gemma":[0.999571,0.0000163681,0.0001178179,0.0002295965,0.00003387459,0.00003130716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001134177,0.00006672123,0.02744727,0.0001379458,0.0000603107,0.000001680546,0.0006928273,0.00004747625,0.6271682,0.0007473016,0.1994577,0.1440592],"study_design_scores_gemma":[0.0002012474,0.0001972219,0.04489695,0.0000508648,0.000008849657,0.000003105414,0.0003645885,0.00001128771,0.01718996,0.0002888173,0.9366264,0.0001607351],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882634,0.007045975,0.0005051102,0.001764815,0.0003103419,0.0009706033,0.00001867421,0.00003702284,0.001084049],"genre_scores_gemma":[0.8680746,0.07042148,0.01679603,0.002670119,0.003665194,0.001011368,0.002029802,0.0001005908,0.0352308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7371687,"threshold_uncertainty_score":0.35954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05263638871429422,"score_gpt":0.3388450624206283,"score_spread":0.2862086737063341,"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."}}