{"id":"W2604203650","doi":"10.1098/rspb.2017.0166","title":"Risky business for a juvenile marine predator? Testing the influence of foraging strategies on size and growth rate under natural conditions","year":2017,"lang":"en","type":"article","venue":"Proceedings of the Royal Society B Biological Sciences","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of Windsor","funders":"","keywords":"Foraging; Predation; Seagrass; Biology; Juvenile; Ecology; Habitat; Natural selection; Mangrove; Population; Predator; Apex predator; Selection (genetic algorithm); Adaptation (eye); Fishery","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":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0008465251,0.0001110411,0.0001571065,0.000004245363,0.001407934,0.00006812402,0.0008215799,0.00008464117,0.00002528386],"category_scores_gemma":[0.00165002,0.00004970575,0.00006979586,0.0001367783,0.004737193,0.0002017529,0.0009102037,0.0001269864,0.000001031261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001726479,"about_ca_system_score_gemma":0.00001860009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005155886,"about_ca_topic_score_gemma":0.0000131799,"domain_scores_codex":[0.99921,0.00001437786,0.0001665614,0.0002659749,0.0001061503,0.0002369243],"domain_scores_gemma":[0.9989719,0.0005367729,0.0003145961,0.00007694451,0.00007478162,0.00002499999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002985437,0.00003345232,0.9480648,0.00002224366,0.0000136325,3.151503e-8,0.0001252165,0.0004126612,0.03898372,0.01193765,0.0001561715,0.0002205677],"study_design_scores_gemma":[0.0001414537,0.0001666655,0.9567571,0.00001599847,0.00001202008,0.000001629481,0.0003330068,0.0009583002,0.001623263,0.03989953,0.00001686929,0.00007420719],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957669,0.000008740804,0.000005352868,0.001373044,0.0000619362,0.0002472792,0.000007760617,0.00001329133,0.00251565],"genre_scores_gemma":[0.9988206,0.000009753558,0.0008054378,0.0002399031,0.00002459888,0.00002634551,4.547894e-7,0.000002077313,0.00007081503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03736046,"threshold_uncertainty_score":0.9998921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0233916791880879,"score_gpt":0.2602310040188747,"score_spread":0.2368393248307868,"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."}}