{"id":"W1916453331","doi":"10.1029/2005wr003993","title":"Prediction of discharge from water surface width in a braided river with implications for at‐a‐station hydraulic geometry","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":146,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Hydraulics; Geometry; Channel (broadcasting); Geology; Surface (topology); Water discharge; Hydrology (agriculture); Range (aeronautics); Hydraulic structure; Geotechnical engineering; Materials science; Physics; Mathematics; Engineering","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":[0.0002566543,0.0003001587,0.0002579024,0.0004175798,0.000160996,0.0005982661,0.0003936011,0.000262689,0.0003982241],"category_scores_gemma":[0.001417015,0.0003008509,0.0002406516,0.0004972474,0.000275728,0.0003682565,0.0003777036,0.0002096311,0.0001313811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004762918,"about_ca_system_score_gemma":0.0005671221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01158432,"about_ca_topic_score_gemma":0.02143755,"domain_scores_codex":[0.9998853,0.00002285448,0.000006646264,0.00003601952,0.00002211733,0.00002691632],"domain_scores_gemma":[0.9995895,0.0001462648,0.00007883278,0.0000440755,0.00007383496,0.00006736124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002929104,0.00007023387,0.5986691,0.00004670814,0.00006951645,0.0002342791,0.0001535281,0.3398684,0.0132393,0.0008565945,0.0004206267,0.04607881],"study_design_scores_gemma":[0.00004461145,0.00009763971,0.3841578,0.00001288632,0.0000274484,0.0000672861,0.00009033582,0.6122002,0.002415221,0.0004260658,0.0004335656,0.00002700246],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964378,0.00002485216,0.002983264,0.00001313973,0.000002003177,0.000004418433,0.00006782702,0.0000468497,0.0004199011],"genre_scores_gemma":[0.9985806,0.00002166122,0.001080792,0.000002087548,0.000001813789,0.000004072834,0.0001231236,0.000006404724,0.0001793741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01158432,"threshold_uncertainty_score":0.02303374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02801395205790089,"score_gpt":0.2681188620463916,"score_spread":0.2401049099884907,"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."}}