{"id":"W4205904115","doi":"10.1002/rra.3907","title":"River conversations: A confluence of lessons and emergence from the Taieri River and the Nechako River","year":2021,"lang":"en","type":"article","venue":"River Research and Applications","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"Canadian Institutes of Health Research; Health Research Council of New Zealand; Vancouver Foundation","keywords":"Confluence; River management; Hydrology (agriculture); Estuary; Geology; Environmental science; Oceanography; Environmental resource management; Computer science; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006751903,0.0005060886,0.0008070805,0.001107972,0.01919413,0.007768478,0.001691001,0.002305901,0.003227233],"category_scores_gemma":[0.008765621,0.000528528,0.0003442501,0.00168851,0.02254771,0.00820967,0.01254392,0.006209529,0.0002608004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007515321,"about_ca_system_score_gemma":0.006003874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03388802,"about_ca_topic_score_gemma":0.08017927,"domain_scores_codex":[0.9937333,0.00415238,0.0001490159,0.0004978204,0.0005901444,0.0008772605],"domain_scores_gemma":[0.9935597,0.00428292,0.0003594574,0.000268547,0.0003893205,0.001140026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001196459,0.000008869663,0.001013396,0.00003460692,0.000002283303,0.0008702681,0.9924583,0.0000198313,0.0002695312,0.002704562,0.0003917423,0.002214611],"study_design_scores_gemma":[0.000003070307,0.00001437308,0.002534758,0.00009203475,0.000004345696,0.0002353399,0.9791521,0.00007947424,0.0001231553,0.001497799,0.01624862,0.00001489832],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9437782,0.001266233,0.002734033,0.0098988,0.0002028346,0.00006617289,0.00005837216,0.00004974342,0.04194557],"genre_scores_gemma":[0.9945543,0.0005285461,0.0006317157,0.0005736225,0.00005238223,0.00005971284,0.00003071233,0.00005151355,0.003517594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03388802,"threshold_uncertainty_score":0.0673815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05495770158585598,"score_gpt":0.3711034639126713,"score_spread":0.3161457623268153,"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."}}