{"id":"W3128738293","doi":"10.1002/nafm.10543","title":"Wood Removals from Lakes May Not Necessarily Elicit Fish Population Responses","year":2021,"lang":"en","type":"article","venue":"North American Journal of Fisheries Management","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Forest Research Institute; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; Canada Foundation for Innovation; Ontario Innovation Trust","keywords":"Abundance (ecology); Biomass (ecology); Habitat; Macrophyte; Littoral zone; Population dynamics of fisheries; Ecology; Predation; Environmental science; Foraging; Population; Fish <Actinopterygii>; Fishery; Biology","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":[0.0002490762,0.0002413053,0.000318945,0.0001918236,0.0004959144,0.0003968744,0.0002275726,0.0003352031,0.001974227],"category_scores_gemma":[0.0007023267,0.0002056867,0.000223512,0.0001398179,0.0004497019,0.0002716248,0.0004328375,0.0005915525,0.0001888232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004506978,"about_ca_system_score_gemma":0.0003118074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002800546,"about_ca_topic_score_gemma":0.01427173,"domain_scores_codex":[0.999685,0.00004238022,0.00002829978,0.00007256505,0.00007951006,0.0000923329],"domain_scores_gemma":[0.9991585,0.0001483696,0.0003645419,0.0000625008,0.0001073512,0.0001587122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001911736,0.0007573115,0.1169135,0.0002393478,0.0001248895,0.0002513238,0.0002909774,0.0003271355,0.8701637,0.00009071805,0.000453573,0.008475694],"study_design_scores_gemma":[0.00001996546,0.001704293,0.9594187,0.00000955797,0.00003802357,0.000058947,0.0002160162,0.0004456637,0.03727187,0.00007858517,0.0007253172,0.00001305223],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992231,0.00005647634,0.0001460035,0.00004311882,0.000009223088,0.00001482258,0.00008836185,0.00001031325,0.0004086214],"genre_scores_gemma":[0.9983468,0.00004159791,0.0003628005,0.0002321805,0.000008695655,0.00006153451,0.0002349766,0.000007418244,0.0007040023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002800546,"threshold_uncertainty_score":0.006604433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01120706176775023,"score_gpt":0.2239183549021586,"score_spread":0.2127112931344083,"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."}}