{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000151911,0.00005545845,0.00007756422,0.00001964959,0.0003605189,0.00006594553,0.00008414959,0.00003751535,0.00001338111],"category_scores_gemma":[0.00001507695,0.00005374724,0.0000097292,0.0002547694,0.0001026558,0.00007859311,0.0001044009,0.0002060956,0.00001198457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002598193,"about_ca_system_score_gemma":0.000006048288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001402881,"about_ca_topic_score_gemma":0.000006052273,"domain_scores_codex":[0.9993704,0.00003457218,0.00009909046,0.0001549845,0.0001229666,0.0002180146],"domain_scores_gemma":[0.9997113,0.00004910076,0.00001509629,0.00005790803,0.00002283015,0.000143729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001454881,0.0002471825,0.03290656,0.001368463,0.0001919235,0.00001570647,0.01317623,0.1360497,0.0002631721,0.2718559,0.2815394,0.2622404],"study_design_scores_gemma":[0.0004797856,0.00014187,0.02449822,0.00001786658,0.000004197014,9.182472e-7,0.0003350843,0.4354108,0.00001532189,0.00345621,0.5354505,0.0001892604],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4976295,0.0132372,0.3434306,0.0806476,0.00007532496,0.006075369,0.0001076862,0.001720437,0.05707629],"genre_scores_gemma":[0.9964783,0.00162501,0.00102878,0.0002194967,0.0002514766,0.0001154511,0.00003090777,0.00001414943,0.0002364182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4988488,"threshold_uncertainty_score":0.2772856,"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."}}