{"id":"W7008686338","doi":"","title":"COLLABORATIVE DECISION-MAKING FOR DROUGHT MANAGEMENT: IMPROVING MULTI-ACTOR APPROACHES","year":2019,"lang":"en","type":"other","venue":"Brock University Digital Repository (Brock University)","topic":"Water Resources and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Public policy; Water supply; Climate change","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":[0.05191522,0.003211483,0.002547509,0.003549386,0.00478618,0.01074266,0.00643939,0.005937108,0.011961],"category_scores_gemma":[0.08786696,0.001291553,0.00261764,0.003534972,0.007049205,0.01570755,0.0163427,0.006597521,0.001429238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005948094,"about_ca_system_score_gemma":0.01038659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00963408,"about_ca_topic_score_gemma":0.01035509,"domain_scores_codex":[0.9533326,0.03569592,0.001631775,0.00454672,0.003481843,0.00131114],"domain_scores_gemma":[0.8732983,0.1053795,0.005379528,0.005945621,0.00617529,0.003821767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002812914,0.0007771394,0.006345668,0.00219944,0.0006648621,0.0005056145,0.009942788,0.3551511,0.001370323,0.3914912,0.01259378,0.2186769],"study_design_scores_gemma":[0.000145209,0.0002175511,0.0007881898,0.0008577406,0.0001447308,0.0000572981,0.003520298,0.3390671,0.0004183358,0.6192757,0.03541738,0.00009057179],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01635104,0.005968898,0.9183512,0.01932638,0.0006552011,0.0008694997,0.0002315351,0.0004494653,0.03779677],"genre_scores_gemma":[0.3813369,0.005703931,0.6048476,0.001985161,0.0005111002,0.001731985,0.0004320336,0.0001618086,0.003289451],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05191522,"threshold_uncertainty_score":0.2745572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0157448926843662,"score_gpt":0.2147662415989869,"score_spread":0.1990213489146207,"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."}}