{"id":"W2101427683","doi":"10.1111/j.1420-9101.2006.01210.x","title":"When bigger is not better: selection against large size, high condition and fast growth in juvenile lemon sharks","year":2006,"lang":"en","type":"article","venue":"Journal of Evolutionary Biology","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":116,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"University of Illinois at Chicago; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Juvenile; Biology; Selection (genetic algorithm); Fish <Actinopterygii>; Growth rate; Fishery; Juvenile fish; Ecology; Zoology; Mathematics","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":[0.0006881442,0.0001986462,0.0001884099,0.0002959797,0.000346477,0.0005092366,0.0002142194,0.0003470843,0.001142016],"category_scores_gemma":[0.001158755,0.0001356555,0.0001506642,0.0001340142,0.0007256181,0.0002198154,0.0003311908,0.0002384046,0.0001436367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002283719,"about_ca_system_score_gemma":0.0001589774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00232007,"about_ca_topic_score_gemma":0.009147969,"domain_scores_codex":[0.9997981,0.00005708304,0.00001529883,0.00004877233,0.00003994688,0.00004089513],"domain_scores_gemma":[0.9990162,0.0001917268,0.0004382832,0.00006740561,0.00007634087,0.0002101342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003209548,0.0000710091,0.9699003,0.00001447022,0.00004248177,0.0002155118,0.000461223,0.0001340652,0.02540164,0.00004074743,0.00006859274,0.003329026],"study_design_scores_gemma":[0.000003653843,0.0001088102,0.9991903,0.00000100344,0.000006166299,0.00007417126,0.0001806105,0.00009199187,0.0003013215,0.00001569462,0.00002384767,0.000002513039],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9999141,0.000009009083,0.000008901908,0.00000729426,5.149152e-7,3.60575e-7,0.000003518331,6.529669e-7,0.00005583556],"genre_scores_gemma":[0.9998401,0.000006656265,0.00004758536,0.00002354871,0.000002599238,0.000001095945,0.00001342528,9.745488e-7,0.00006386069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00232007,"threshold_uncertainty_score":0.004613101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003602003780870718,"score_gpt":0.2043820918143751,"score_spread":0.2007800880335044,"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."}}