{"id":"W2072803626","doi":"10.1016/j.geoforum.2014.07.012","title":"Governing jurisdictional fragmentation: Tracing patterns of water governance in Ontario, Canada","year":2014,"lang":"en","type":"article","venue":"Geoforum","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Hebrew University of Jerusalem; Ministry of Natural Resources","keywords":"Corporate governance; Fragmentation (computing); Context (archaeology); Environmental planning; Public administration; Scope (computer science); Political science; Business; Environmental resource management; Geography; Economics; Ecology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000356179,0.00007655274,0.0001206217,0.00001268631,0.0002390448,0.00001912785,0.0001413264,0.00005223292,0.001943368],"category_scores_gemma":[0.00001565391,0.00006501645,0.00002908074,0.00004666443,0.00003226005,0.0002476329,0.00004883306,0.000146009,0.000006971756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005764433,"about_ca_system_score_gemma":0.0003983731,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9938492,"about_ca_topic_score_gemma":0.9994179,"domain_scores_codex":[0.9985884,0.00004025285,0.0002014759,0.0001404563,0.0004582467,0.0005711266],"domain_scores_gemma":[0.99972,0.00002401224,0.00009469435,0.00008641133,0.00003005383,0.00004485812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000121932,0.00001135331,0.9760226,0.00001164234,0.000008208212,0.000003496952,0.00986918,0.0009030801,0.0001759924,0.007823485,0.003557761,0.001600983],"study_design_scores_gemma":[0.0002659695,0.00001637239,0.812784,0.00004501141,0.000003192664,6.535524e-7,0.001200762,0.00002789154,0.00148037,0.0007375541,0.1833331,0.0001051755],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815821,0.000009914617,0.0002688175,0.001165392,0.0005106397,0.00006513909,0.00002637204,0.00000775128,0.01636388],"genre_scores_gemma":[0.9954842,0.000007596134,0.00006755804,0.0003620551,0.0001221116,0.000004615729,0.0000166103,0.000005358996,0.003929859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1797753,"threshold_uncertainty_score":0.998969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005160892103414905,"score_gpt":0.2026033020441576,"score_spread":0.1974424099407426,"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."}}