{"id":"W4405396635","doi":"10.62051/925t1f10","title":"Comparing Water Treatment Systems in China and Canada: Technologies, Policies, and Historical Contexts","year":2024,"lang":"en","type":"article","venue":"Transactions on Environment Energy and Earth Sciences","topic":"Hydropower, Displacement, Environmental Impact","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thornhill Medical (Canada)","funders":"","keywords":"Business; Industrialisation; Environmental planning; Sustainability; Indigenous; Corporate governance; Population; Natural resource economics; Environmental resource management; Environmental economics; Environmental science; Economics; Ecology","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.000213667,0.0001377016,0.00015569,0.0001194095,0.0005819383,0.0001125444,0.00007088784,0.00006118657,0.00005223295],"category_scores_gemma":[0.000001583707,0.00009896143,0.0000153514,0.00008197052,0.0006842124,0.000246707,0.000008871731,0.00007279665,0.000002002225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005095392,"about_ca_system_score_gemma":0.00005519682,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7447745,"about_ca_topic_score_gemma":0.5071247,"domain_scores_codex":[0.9988746,0.00006753583,0.0001439925,0.000330594,0.0002577855,0.000325497],"domain_scores_gemma":[0.9997569,0.00004468814,0.00001645596,0.00007667439,6.45014e-7,0.0001045949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000345176,0.002831569,0.1628043,0.0003424167,0.0007211035,0.0005431527,0.06510793,0.1459868,0.01420084,0.1075488,0.001114194,0.4984537],"study_design_scores_gemma":[0.001212857,0.001299082,0.03264809,0.0002062245,0.00009508679,0.00004941307,0.01325884,0.01094676,0.004679927,0.0003967139,0.9342214,0.0009856282],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989063,0.005520284,0.0006402579,0.003118748,0.0002151335,0.0001481349,0.00000851557,0.00005263888,0.001233236],"genre_scores_gemma":[0.9905866,0.007318996,0.00002223687,0.00003121393,0.00001148715,0.00002077859,0.000001202376,0.000005122276,0.002002361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9331072,"threshold_uncertainty_score":0.501869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01955939017023781,"score_gpt":0.277267027456808,"score_spread":0.2577076372865702,"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."}}