{"id":"W3006781848","doi":"10.1111/faf.12448","title":"Density‐dependent growth and survival in salmonids: Quantifying biological mechanisms and methodological biases","year":2020,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Density dependence; River ecosystem; Field (mathematics); Biology; Ecology; Habitat; Mathematics; Population","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":[0.1372901,0.002194308,0.004145494,0.005805889,0.0008938484,0.003672916,0.002937808,0.002257482,0.001164238],"category_scores_gemma":[0.2130296,0.001396166,0.01622118,0.0056263,0.002767463,0.002635173,0.002603021,0.001381724,0.0002135886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001196672,"about_ca_system_score_gemma":0.001646666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003368956,"about_ca_topic_score_gemma":0.006466994,"domain_scores_codex":[0.8637586,0.09390903,0.02280111,0.01187963,0.006914514,0.0007371533],"domain_scores_gemma":[0.6146834,0.2903972,0.04665836,0.03361356,0.01375533,0.0008921399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"observational","study_design_scores_codex":[0.001569548,0.00006919821,0.3325136,0.03696456,0.5857004,0.0001757269,0.0005987432,0.002038084,0.001729599,0.001047073,0.0006735152,0.03691991],"study_design_scores_gemma":[0.0006463503,0.001530066,0.3634316,0.01759997,0.5920627,0.0004587937,0.0006752973,0.005833222,0.004031662,0.006888568,0.006577658,0.0002642092],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2422159,0.6910143,0.05639247,0.002592932,0.001259662,0.001093901,0.002402053,0.0002156103,0.002813297],"genre_scores_gemma":[0.9603273,0.02060594,0.01563608,0.001051733,0.0003624831,0.0009011382,0.0007690827,0.00009058579,0.0002555997],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1372901,"threshold_uncertainty_score":0.7260684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1448595332261377,"score_gpt":0.2816530167746342,"score_spread":0.1367934835484965,"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."}}