{"id":"W2366257123","doi":"","title":"Strategies and Inspiration of Drinking Water Source Protection in Canada","year":2007,"lang":"en","type":"article","venue":"China Water & Wastewater","topic":"Environmental and Agricultural Sciences","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Watershed; Water source; Watershed management; Business; Environmental planning; Environmental resource management; Water resources; Resource (disambiguation); Water resource management; Environmental science; Resource management (computing); Total maximum daily load; China; Groundwater; Engineering; Geography; Ecology; Computer science","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":[0.000949299,0.0004012014,0.0002176951,0.001635445,0.01241641,0.006656548,0.001125495,0.001298411,0.003925154],"category_scores_gemma":[0.001537344,0.0002734887,0.000200329,0.003188243,0.008702684,0.001341573,0.003067837,0.002076165,0.0001759444],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1504489,"about_ca_system_score_gemma":0.1726538,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9887384,"about_ca_topic_score_gemma":0.9948676,"domain_scores_codex":[0.9982353,0.0002193688,0.00003476554,0.0001881367,0.000484868,0.0008374765],"domain_scores_gemma":[0.9990681,0.00008155865,0.00006014842,0.0000182109,0.0003403999,0.0004316753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005918725,0.00008061672,0.01399598,0.0002470069,0.00003136835,0.001068668,0.07646877,0.00133096,0.001615358,0.7639332,0.03229597,0.1088728],"study_design_scores_gemma":[0.00002523351,0.00003781152,0.02327796,0.0003527934,0.00003706028,0.0002128748,0.07110186,0.001902867,0.001541664,0.0335374,0.8678785,0.00009395168],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.252192,0.01188735,0.003793138,0.08971158,0.0002935233,0.0001589835,0.0004040405,0.00009289104,0.6414666],"genre_scores_gemma":[0.9297895,0.005889845,0.002299699,0.002613027,0.00001648099,0.00002734081,0.00008605035,0.00003290316,0.05924514],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1504489,"threshold_uncertainty_score":0.9853588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005263942646195302,"score_gpt":0.1605862543509305,"score_spread":0.1553223117047352,"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."}}