{"id":"W2521673453","doi":"10.1098/rsbl.2016.0584","title":"Altered trait variability in response to size-selective mortality","year":2016,"lang":"en","type":"article","venue":"Biology Letters","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Leibniz-Gemeinschaft; Ella ja Georg Ehrnroothin Säätiö; Koneen Säätiö; Academy of Finland; AXA Research Fund","keywords":"Biology; Trait; Fishing; Selection (genetic algorithm); Directional selection; Danio; Stabilizing selection; Population; Ecology; Variation (astronomy); Population size; Evolutionary biology; Zebrafish; Genetic variation; Demography; Genetics; Gene","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00152444,0.00009549846,0.0001387063,0.00002737639,0.00005893485,0.000001953689,0.0001652875,0.00006137131,0.000969569],"category_scores_gemma":[0.00105397,0.00006673228,0.00002722326,0.0001319591,0.0003163422,0.00005813053,0.0001930153,0.00005629308,0.0003045917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000201897,"about_ca_system_score_gemma":0.000003561234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001366661,"about_ca_topic_score_gemma":0.001492724,"domain_scores_codex":[0.998473,0.0006690831,0.0001462479,0.0003774345,0.00004202729,0.0002921509],"domain_scores_gemma":[0.9989132,0.0008235893,0.00003128358,0.0001908917,0.000002240544,0.00003877352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002468741,0.00004031671,0.8532503,8.859344e-7,0.00001965986,0.000004427325,0.0001469152,0.000005712903,0.1201176,0.0000545213,0.02538216,0.0007306164],"study_design_scores_gemma":[0.0003216787,0.00006753713,0.9920538,0.000001971279,0.000004929018,4.017326e-7,0.000008108704,0.000001222152,0.0004109212,0.001028916,0.006002229,0.00009827349],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9601574,4.573154e-7,0.001285858,0.03597101,0.0001571163,0.0002496348,0.00001062217,0.0000280837,0.002139824],"genre_scores_gemma":[0.9861756,0.00000146864,0.0002989275,0.01324555,0.0000191014,0.00007648911,5.754749e-7,0.000003662198,0.000178597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1388035,"threshold_uncertainty_score":0.9999437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01188961529408854,"score_gpt":0.2474671598992173,"score_spread":0.2355775446051287,"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."}}