{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002373993,0.0001092916,0.0001812262,0.0005423946,0.0003134936,0.0002908347,0.0001408715,0.0001446413,0.0007052624],"category_scores_gemma":[0.0006413076,0.0001203049,0.0001355344,0.000241325,0.0003192413,0.000201161,0.0002484522,0.0001657158,0.00008976807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002001117,"about_ca_system_score_gemma":0.0001387005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003046424,"about_ca_topic_score_gemma":0.01219992,"domain_scores_codex":[0.9998956,0.00003268315,0.000009397103,0.00002472909,0.00001948054,0.00001813669],"domain_scores_gemma":[0.9996947,0.00005376196,0.000134596,0.00001778985,0.00002992484,0.00006925097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001692308,0.00007464744,0.9453004,0.00001516271,0.00003883168,0.0002053002,0.0004184711,0.0002043803,0.04846472,0.00007755528,0.00003327747,0.004997997],"study_design_scores_gemma":[0.000002955163,0.0000459099,0.9990639,0.000001206093,0.000005902962,0.0001016406,0.0001216008,0.0002378439,0.0003686919,0.00002698474,0.00002081889,0.000002553162],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998887,0.00001178138,0.00003732176,0.000002975177,3.37504e-7,5.615117e-7,0.00001005699,8.48341e-7,0.00004743167],"genre_scores_gemma":[0.9998112,0.00001125737,0.00006980764,0.000003827276,8.135409e-7,0.000001642658,0.00003601761,9.139334e-7,0.00006451702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003046424,"threshold_uncertainty_score":0.006057382,"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."}}