{"id":"W2548515295","doi":"10.1111/geb.12475","title":"Environment and predation govern fish community assembly in temperate streams","year":2016,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"School of Aquatic and Fishery Sciences; McGill University","keywords":"Interspecific competition; Predation; Competition (biology); Predator; Biology; Ecology; Community structure; Null model; Community; Temperate climate; Fish <Actinopterygii>; Apex predator; STREAMS; Ecosystem; Fishery","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000675679,0.000185846,0.000323558,0.0009367388,0.0005581481,0.0008171627,0.0002783816,0.0002542674,0.0009567952],"category_scores_gemma":[0.001862578,0.0002286405,0.0002774648,0.000427576,0.0005489086,0.0005354109,0.000740446,0.0001401682,0.0001186775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002948064,"about_ca_system_score_gemma":0.0002477737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00531343,"about_ca_topic_score_gemma":0.01332679,"domain_scores_codex":[0.9996182,0.0001070668,0.00003793869,0.0001068993,0.00006287591,0.00006700092],"domain_scores_gemma":[0.9988365,0.0002899372,0.0005363444,0.00004625128,0.0001326994,0.000158457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001059077,0.00002174986,0.9906025,0.00002495203,0.00006052128,0.00004680523,0.000262989,0.000457519,0.006499156,0.00006176147,0.00003240125,0.001823892],"study_design_scores_gemma":[0.000002193356,0.00002865356,0.9983259,0.000003427962,0.000009355688,0.00002777792,0.0001417196,0.001215833,0.0001300376,0.00007667799,0.00003560937,0.000002774248],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997774,0.00003195269,0.00008136693,0.000003135406,2.771099e-7,0.000001307989,0.00002025974,0.00000143701,0.00008296486],"genre_scores_gemma":[0.9997601,0.00001986642,0.000126143,0.000002859626,0.000001207871,0.000001857379,0.00004512971,0.00000115983,0.00004171118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00531343,"threshold_uncertainty_score":0.01056498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005367250492807421,"score_gpt":0.1925663180502339,"score_spread":0.1871990675574265,"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."}}