{"id":"W2758208380","doi":"10.1002/ece3.3423","title":"Genetic mating system and mate selection in smallmouth bass","year":2017,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry; Trent University","funders":"Ontario Ministry of Natural Resources and Forestry; Ministry of Natural Resources","keywords":"Biology; Mating system; Sexual selection; Semelparity and iteroparity; Mating; Population; Inbreeding; Zoology; Ecology; Reproductive success; Seasonal breeder; Mate choice; Natural selection; Evolutionary biology; Reproduction; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002023395,0.00005038227,0.00007526625,0.00002284512,0.0006087411,0.00001349613,0.00004374675,0.00006297073,0.00005302511],"category_scores_gemma":[0.00003159301,0.00005004436,0.000005090775,0.00001923017,0.0001463251,0.0001209714,0.0001626179,0.00005336815,0.00005079257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009207229,"about_ca_system_score_gemma":0.000001533985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002747311,"about_ca_topic_score_gemma":0.01350934,"domain_scores_codex":[0.9995649,0.00003849699,0.00008121147,0.0001537476,0.00002382643,0.0001378099],"domain_scores_gemma":[0.9998516,0.00001549984,0.00006451304,0.0000510333,0.000001802421,0.00001551116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000673293,0.000007631366,0.9985598,0.00001771497,0.00000460045,0.000002865443,0.00007907375,0.00008356258,0.0001046322,0.0005168374,0.0004278357,0.000188762],"study_design_scores_gemma":[0.0002107287,0.00003780417,0.9940555,0.000005929126,0.000009632774,0.00001020932,0.0001638405,0.004878732,0.000004078302,0.0005193082,0.00005412334,0.00005008121],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905623,0.00001481415,0.0001317381,0.0003702273,0.0001089328,0.0001117369,4.304217e-7,0.00001803335,0.008681769],"genre_scores_gemma":[0.9991799,0.00002135214,0.0003212676,0.00004673324,0.00001446618,0.00002190382,2.847597e-7,0.000002238855,0.0003918327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01323461,"threshold_uncertainty_score":0.7538529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006381430651385971,"score_gpt":0.1943684972706213,"score_spread":0.1879870666192353,"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."}}