{"id":"W2800989478","doi":"10.1002/ecy.2371","title":"Habitat availability and ontogenetic shifts alter bottlenecks in size‐structured fish populations","year":2018,"lang":"en","type":"article","venue":"Ecology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Freshwater Fisheries Society of British Columbia","keywords":"Habitat; Ecology; Density dependence; Population; Biology; Competition (biology); Abundance (ecology); Range (aeronautics); Rainbow trout; Juvenile; Population density; Vital rates; Population model; Intraspecific competition; Population growth; Fishery; Fish <Actinopterygii>; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0004285421,0.0002110212,0.0001942804,0.0002879194,0.0002607303,0.0005039121,0.0004881856,0.0003505409,0.001590864],"category_scores_gemma":[0.001885087,0.0003013987,0.0005330332,0.000195657,0.0003643981,0.0004775688,0.0003709062,0.0002373629,0.0001466739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007815817,"about_ca_system_score_gemma":0.0006176865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01949199,"about_ca_topic_score_gemma":0.02479669,"domain_scores_codex":[0.9999219,0.0000224022,0.000004933874,0.0000251004,0.00000638221,0.00001925167],"domain_scores_gemma":[0.9995605,0.0001350102,0.0001858151,0.00002766356,0.00003652774,0.00005448506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002467037,0.000182239,0.474061,0.00006573521,0.0002862689,0.0004523041,0.0006023634,0.4802105,0.02574853,0.005121832,0.0005728386,0.0124497],"study_design_scores_gemma":[0.00007084211,0.0002094178,0.3850028,0.00001732168,0.0001317478,0.0001827836,0.0004169539,0.6077621,0.001524491,0.003948958,0.0006901195,0.0000424988],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965503,0.00001847953,0.002924686,0.00002828776,0.000001633986,0.000005396642,0.00007596197,0.00001939205,0.0003758245],"genre_scores_gemma":[0.9986017,0.00002831287,0.0009934119,0.000009220738,9.959945e-7,0.0000102718,0.00007806499,0.00000701143,0.0002710843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01949199,"threshold_uncertainty_score":0.03875709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01153120815259631,"score_gpt":0.2378757042071868,"score_spread":0.2263444960545905,"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."}}