{"id":"W2970881980","doi":"10.1002/esp.4726","title":"Does variable channel morphology lead to dynamic salmon habitat?","year":2019,"lang":"en","type":"article","venue":"Earth Surface Processes and Landforms","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of British Columbia; Ministry of Environment; Peace Arch Hospital; University of British Columbia","funders":"","keywords":"Habitat; Environmental science; Hydrology (agriculture); Channel (broadcasting); Ecology; Sediment; Drainage basin; River morphology; STREAMS; Physical geography; Geography; Geology; Biology; Geomorphology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005580873,0.0001238006,0.0001734838,0.0005689042,0.0003138067,0.001012056,0.0002995684,0.0004389179,0.00307158],"category_scores_gemma":[0.004372276,0.0001695568,0.0003440669,0.0006519544,0.0007329349,0.0004590833,0.0003368032,0.0002753873,0.0001834005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004804088,"about_ca_system_score_gemma":0.0005415724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01084338,"about_ca_topic_score_gemma":0.01704064,"domain_scores_codex":[0.99961,0.0001150127,0.00002874498,0.0001194276,0.00004159474,0.00008522844],"domain_scores_gemma":[0.9970384,0.001033194,0.001038812,0.0002404502,0.0002963294,0.0003528817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001359134,0.00002376375,0.9934331,0.000008196674,0.00003779319,0.0001760149,0.00006621958,0.001403491,0.001164361,0.0001592566,0.0001139682,0.003277955],"study_design_scores_gemma":[0.000004119217,0.0000390883,0.9945195,0.000008106351,0.00002094949,0.0001436685,0.000238876,0.00426477,0.000186925,0.0004525183,0.0001136072,0.000007886514],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989666,0.00004325155,0.0003560955,0.00007583445,0.000004187192,0.000002321034,0.0001041095,0.000007467509,0.0004402781],"genre_scores_gemma":[0.99981,0.00001162549,0.00004812628,0.000009309369,0.000002041517,7.982491e-7,0.00003022167,0.000002684591,0.00008519347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01084338,"threshold_uncertainty_score":0.02156049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003946441479501379,"score_gpt":0.1970333481766386,"score_spread":0.1930869066971373,"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."}}