{"id":"W4300061831","doi":"10.1002/essoar.10512102.1","title":"Building bridges over troubled waters","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Transboundary Water Resource Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Water security; Influencer marketing; Intervention (counseling); Natural (archaeology); Climate change; Key (lock); Adaptation (eye); Environmental planning; Political science; Environmental resource management; Environmental science; Business; Computer science; Geography; Ecology; Computer security; Psychology; Water resources","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":[0.002233745,0.0003941318,0.000372234,0.001110483,0.007195562,0.005067647,0.001843275,0.002623635,0.02366476],"category_scores_gemma":[0.008090691,0.0002915704,0.0003794366,0.0009299979,0.005350111,0.007006923,0.0158527,0.001523767,0.002839686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002101417,"about_ca_system_score_gemma":0.003738799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005765055,"about_ca_topic_score_gemma":0.009028164,"domain_scores_codex":[0.9986222,0.0005658372,0.00003304885,0.0002500347,0.0001842059,0.0003446759],"domain_scores_gemma":[0.9976655,0.0006661821,0.000271588,0.0003651188,0.0003140109,0.0007175467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001622951,0.00014024,0.00727969,0.0002783754,0.00006957653,0.001888202,0.05123488,0.009931174,0.003361653,0.7750899,0.01865041,0.1319136],"study_design_scores_gemma":[0.00004258561,0.0001691073,0.003613798,0.0004306375,0.00006000078,0.000364462,0.04915823,0.009465233,0.001299098,0.5536242,0.3817337,0.00003904929],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.520633,0.001917548,0.1056519,0.02004417,0.0007180134,0.0002279829,0.0001724488,0.0005591739,0.3500757],"genre_scores_gemma":[0.9641023,0.0005609212,0.0146307,0.0005715312,0.00005175993,0.00009532244,0.0000935906,0.00009009057,0.01980385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02366476,"threshold_uncertainty_score":0.07916653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03149626684115505,"score_gpt":0.3253650886616725,"score_spread":0.2938688218205174,"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."}}