{"id":"W2327888229","doi":"","title":"Natural resource industries and the state in collaborative approaches to water governance: a power-based analysis","year":2015,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Collaborative governance; Natural resource; Corporate governance; State (computer science); Power (physics); Resource (disambiguation); Natural resource management; Natural (archaeology); Business; Political science; Computer science; Geography; Finance; Archaeology","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":[0.000589913,0.0002187959,0.0005406715,0.0002239119,0.0003110006,0.00008616925,0.0004636619,0.0002648514,0.00007226661],"category_scores_gemma":[0.00006336696,0.0001577848,0.0001027519,0.001147298,0.0005058072,0.0002932804,0.00007022282,0.0003810956,0.000006551285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002099973,"about_ca_system_score_gemma":0.0003247909,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1742014,"about_ca_topic_score_gemma":0.5693211,"domain_scores_codex":[0.998242,0.0003163803,0.0001415032,0.0003601144,0.0005924938,0.0003475093],"domain_scores_gemma":[0.9991695,0.00005387472,0.0002393738,0.0002211411,0.0002072709,0.0001087945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001405661,0.00001915782,0.001725013,0.00002723925,0.0002456615,0.00001395901,0.9906316,0.0006364778,0.00003939418,0.0005838783,0.003878084,0.0007938147],"study_design_scores_gemma":[0.00204019,0.00008650029,0.02225078,0.0001081831,0.0003848724,1.292688e-7,0.9536822,0.0001006902,0.0008242825,0.001062128,0.01902498,0.0004350528],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919446,0.0002506348,0.0000013961,0.005541804,0.0001057366,0.000475066,0.0001263751,0.00001756937,0.001536838],"genre_scores_gemma":[0.8048368,0.00005210453,0.0001194359,0.00005716562,0.00002322287,0.000001556567,0.0001957196,0.00001109815,0.1947029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3951197,"threshold_uncertainty_score":0.8312977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01824341093097409,"score_gpt":0.2168620869704016,"score_spread":0.1986186760394275,"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."}}