{"id":"W4410440590","doi":"10.3390/w17101502","title":"Amalgamation of Drainage Area Ratio and Nearest Neighbors Methods for Predicting Stream Flows in British Columbia, Canada","year":2025,"lang":"en","type":"article","venue":"Water","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drainage; Hydrology (agriculture); Environmental science; Stream flow; Geography; Geology; Drainage basin; Cartography; Geotechnical engineering; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007726527,0.0007337124,0.0004693027,0.001679245,0.0009443388,0.001076033,0.001194485,0.0004043647,0.001006168],"category_scores_gemma":[0.002111842,0.0002338106,0.0004233531,0.001592824,0.0003362556,0.0004842996,0.0005747771,0.0006774863,0.000220777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006167276,"about_ca_system_score_gemma":0.008540918,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.947131,"about_ca_topic_score_gemma":0.9466519,"domain_scores_codex":[0.9995298,0.00006229655,0.00002756616,0.0001580214,0.0001200488,0.0001022646],"domain_scores_gemma":[0.9994078,0.0001627768,0.0000393463,0.00003405216,0.0003008062,0.00005526005],"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":[0.0001751707,0.0002464711,0.1574313,0.00007461129,0.0001519644,0.0002025605,0.0002055499,0.5846209,0.001946373,0.0009583876,0.007224747,0.246762],"study_design_scores_gemma":[0.000007230486,0.000005350818,0.01645963,0.000008501909,0.000009654214,0.000007566025,0.00008073636,0.9823232,0.0003276709,0.0001626939,0.0005965795,0.00001117378],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9573996,0.0007945667,0.0333552,0.0005607679,0.00005685228,0.0001406688,0.002329396,0.001301056,0.004061918],"genre_scores_gemma":[0.9672571,0.0002685562,0.02680974,0.00006311312,0.00001661252,0.00003922312,0.002760331,0.00005371319,0.00273156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05286896,"threshold_uncertainty_score":0.1063606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006081851501204588,"score_gpt":0.2298798096527515,"score_spread":0.223797958151547,"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."}}