{"id":"W7006861281","doi":"","title":"Water allocation in Ontario: Can municipalities assume a greater role?","year":2006,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Key (lock); Water industry; Water utility; Local government; Water conservation; Focus (optics); Deregulation","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":[0.0002733758,0.0001501647,0.0002426283,0.0001159231,0.00034905,0.00003158209,0.0006162218,0.0002796668,0.0007081389],"category_scores_gemma":[0.000006364538,0.0001239158,0.0001192027,0.0001207296,0.0001710069,0.0002391877,0.00004473297,0.0003172055,0.00002574153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003995115,"about_ca_system_score_gemma":0.0002986083,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9584951,"about_ca_topic_score_gemma":0.9927055,"domain_scores_codex":[0.9988701,0.0001352819,0.0001371916,0.0001945738,0.0003631274,0.0002996677],"domain_scores_gemma":[0.9994228,0.00001771613,0.0001651841,0.0002465342,0.0001125997,0.00003514953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002916502,0.0000406295,0.02419757,0.00007290122,0.0001023986,0.00002352342,0.9565814,0.0001395564,0.00970917,0.003098061,0.004956886,0.0007862471],"study_design_scores_gemma":[0.0003776312,0.00003073277,0.7972107,0.00008129396,0.000113938,4.675642e-7,0.1438026,0.000007113453,0.0006430227,0.003819454,0.05363877,0.0002743016],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.956022,0.00004698847,0.000001056608,0.0008390084,0.000257027,0.0002029917,0.00001897105,0.00001933816,0.04259263],"genre_scores_gemma":[0.8240913,0.00003040205,0.00002466734,0.00002543281,0.00006150691,4.364275e-7,0.0003870274,0.000008743052,0.1753705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8127788,"threshold_uncertainty_score":0.7753624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01246058922413588,"score_gpt":0.2161322420703308,"score_spread":0.2036716528461949,"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."}}