{"id":"W1496411558","doi":"10.1111/j.1752-4571.2008.00043.x","title":"Response: on the consequences of sexual selection for fisheries‐induced evolution","year":2008,"lang":"en","type":"article","venue":"Evolutionary Applications","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada; Dalhousie University","funders":"","keywords":"Sexual selection; Biology; Natural selection; Selection (genetic algorithm); Fishing; Reproductive success; Fecundity; Ecology; Fisheries management; Evolutionary biology; Demography; Population","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003210192,0.00008423771,0.00007932817,0.0000360804,0.0006876881,0.000005710439,0.0002275561,0.00005837293,0.001926096],"category_scores_gemma":[0.0001534842,0.00006738352,0.00003466367,0.0004780038,0.0006047267,0.0001233159,0.0000647733,0.0001091265,0.0001004289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002141957,"about_ca_system_score_gemma":0.00009104939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004328809,"about_ca_topic_score_gemma":0.00004039597,"domain_scores_codex":[0.9989968,0.000110586,0.0001844718,0.0002404126,0.0002871047,0.0001806407],"domain_scores_gemma":[0.9991457,0.0004220901,0.00007501096,0.0002658987,0.00004607103,0.00004520921],"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":[0.001948231,0.0007493991,0.294202,0.00002929729,0.00005993446,9.717636e-7,0.0004940418,0.0007961216,0.3734891,0.07714389,0.2427846,0.00830235],"study_design_scores_gemma":[0.0003537724,0.000880587,0.4730932,0.000002859701,0.00001448845,0.00005482927,0.0003154331,0.003593893,0.004041894,0.008754434,0.5086517,0.000242889],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9041183,0.00001446443,0.02321026,0.01347578,0.00005348344,0.002211818,0.00008412582,0.00009599593,0.05673581],"genre_scores_gemma":[0.9923605,0.000007492486,0.00120106,0.0001169363,0.00005043992,0.001422994,0.00002226276,0.000008674137,0.004809659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3694472,"threshold_uncertainty_score":0.9989863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04037862311969798,"score_gpt":0.2708430348995003,"score_spread":0.2304644117798024,"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."}}