{"id":"W3097232435","doi":"10.1002/rra.3745","title":"Relating social networks, ecological health, and reservoir basin governance","year":2020,"lang":"en","type":"article","venue":"River Research and Applications","topic":"Water resources management and optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Operationalization; Corporate governance; Government (linguistics); Environmental resource management; Outreach; Geography; Business; Environmental planning; Political science; Environmental science","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":[0.001393831,0.0001621934,0.0001226798,0.002692856,0.001351386,0.001720186,0.0004490733,0.0002856584,0.002932611],"category_scores_gemma":[0.008264235,0.000100826,0.0001412886,0.002193274,0.001211938,0.0007637554,0.001858563,0.0003342225,0.00006631875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004472858,"about_ca_system_score_gemma":0.002845912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2701077,"about_ca_topic_score_gemma":0.3934302,"domain_scores_codex":[0.9988741,0.0004783734,0.00006028322,0.0001245703,0.0002678014,0.0001948789],"domain_scores_gemma":[0.9926493,0.00267584,0.002232591,0.0002349671,0.001182926,0.001024387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001534972,0.00004296458,0.9913208,0.00001398858,0.00003710931,0.00004182004,0.001722021,0.0005442902,0.00006938197,0.0007731789,0.0002188098,0.005200272],"study_design_scores_gemma":[0.00000173438,0.00001646267,0.9897861,0.00002337939,0.00001434986,0.00002107474,0.007076866,0.001578221,0.00005499928,0.0005683567,0.0008528222,0.000005579487],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945415,0.00006862894,0.0002064754,0.000252332,0.000002804124,0.00002206085,0.0001861489,0.000002896322,0.004717044],"genre_scores_gemma":[0.9996952,0.00002036939,0.00006363544,0.000007315365,0.000001124773,0.000006819535,0.00004264657,3.881363e-7,0.0001625191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2701077,"threshold_uncertainty_score":0.5370711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0535442743409841,"score_gpt":0.2912066887277653,"score_spread":0.2376624143867812,"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."}}