{"id":"W7095247669","doi":"","title":"Winnipeg’s North End Water Pollution Control Centre into the Red River on Septemb...","year":2003,"lang":"en","type":"article","venue":"","topic":"Water Resources and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recreation; Water resources; Milestone; Action plan; Work (physics); Tourism; Water quality; Sustainable development; International Action","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":[0.0001794107,0.000328475,0.0001376234,0.000311214,0.004329327,0.002242916,0.0004019201,0.0007591333,0.06758994],"category_scores_gemma":[0.0005087922,0.000202114,0.0001999185,0.0003634611,0.0005674211,0.0004889922,0.001578932,0.0008763783,0.007537154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005387214,"about_ca_system_score_gemma":0.01317059,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7403437,"about_ca_topic_score_gemma":0.9209865,"domain_scores_codex":[0.9997801,0.00001313717,0.000004472484,0.00003723299,0.00006985661,0.00009512666],"domain_scores_gemma":[0.9996656,0.000009452765,0.00001325872,0.000008587631,0.0001249783,0.0001781135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001100075,0.00006050874,0.01102182,0.0002012779,0.00001698581,0.001779638,0.002443689,0.0001523188,0.003601162,0.01048973,0.8547958,0.1153271],"study_design_scores_gemma":[0.000007316469,0.00001372871,0.009869899,0.00004106663,0.000003318889,0.00006577203,0.0008318154,0.00003637667,0.0002436639,0.0001430696,0.9887385,0.00000540578],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08389967,0.008157196,0.002376596,0.09636953,0.009855004,0.0009987645,0.005663531,0.0009795055,0.7917001],"genre_scores_gemma":[0.06452684,0.002309304,0.001884866,0.006464261,0.0001355629,0.00006800245,0.0009896922,0.0001223441,0.9234991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2596563,"threshold_uncertainty_score":0.5223708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008173686223998614,"score_gpt":0.2180604993028714,"score_spread":0.2098868130788728,"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."}}