{"id":"W2113458670","doi":"10.1111/j.2005.0906-7590.04181.x","title":"The structure of food webs along river networks","year":2005,"lang":"en","type":"article","venue":"Ecography","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Species richness; Food web; Ecology; Drainage basin; Fish <Actinopterygii>; Geography; Environmental science; Fishery; Biology; Ecosystem","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004579751,0.0001250095,0.0002256449,0.001675154,0.0003394886,0.001027427,0.0002114601,0.0002393856,0.0006315801],"category_scores_gemma":[0.003025725,0.0003777207,0.0002421336,0.001092889,0.0009850791,0.0006991089,0.0005827092,0.0002293092,0.0001103753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000964311,"about_ca_system_score_gemma":0.0003677637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01561419,"about_ca_topic_score_gemma":0.03761958,"domain_scores_codex":[0.99972,0.00009075855,0.00002255306,0.00009070906,0.00003382326,0.00004205019],"domain_scores_gemma":[0.9980441,0.0007481811,0.0005498925,0.0002166155,0.0003101454,0.0001309284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006365346,0.00002008241,0.9728748,0.0000521831,0.0002432665,0.0001205797,0.000696765,0.009767042,0.006681227,0.001748745,0.0001484878,0.007583221],"study_design_scores_gemma":[0.000003902878,0.00001677212,0.9863912,0.00001252491,0.00002476132,0.00007634759,0.0002449966,0.01103866,0.0002358281,0.00172526,0.0002191462,0.00001060942],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990106,0.00003281252,0.000526853,0.00001391015,3.05479e-7,0.000002902447,0.0001140382,0.000006743143,0.0002917617],"genre_scores_gemma":[0.9992936,0.00003073258,0.0004061855,0.000004939957,5.518316e-7,0.000005390929,0.0001698196,0.000002452387,0.00008633652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01561419,"threshold_uncertainty_score":0.03104657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003030140790396282,"score_gpt":0.1708464310983999,"score_spread":0.1678162903080036,"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."}}