{"id":"W1973203282","doi":"10.1016/j.landusepol.2005.05.005","title":"Source water protection in the Annapolis Valley, Nova Scotia: Lessons for building local capacity","year":2005,"lang":"en","type":"article","venue":"Land Use Policy","topic":"Community Health and Development","field":"Health Professions","cited_by":73,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Canadian Water Network; U.S. Environmental Protection Agency","keywords":"Nova scotia; Face (sociological concept); Environmental planning; Business; Water source; Water resources; Resource (disambiguation); Watershed; Environmental resource management; Environmental protection; Geography; Water resource management; Environmental science; Ecology; Archaeology; Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001146365,0.0002042376,0.0003029457,0.0005077646,0.007145609,0.004465943,0.001741102,0.001871229,0.00605388],"category_scores_gemma":[0.003872442,0.0002825847,0.0002242645,0.0007651016,0.003453271,0.001154359,0.003523691,0.002198616,0.0002798063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03478711,"about_ca_system_score_gemma":0.09706766,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9425071,"about_ca_topic_score_gemma":0.9904476,"domain_scores_codex":[0.9984978,0.0002175292,0.00002797701,0.00006604792,0.0001259451,0.001064694],"domain_scores_gemma":[0.9972478,0.0005122512,0.0001242028,0.00006707538,0.0004503818,0.001598162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007956605,0.000777929,0.298614,0.002394413,0.0001998745,0.01551177,0.0884743,0.0113386,0.01087655,0.1606018,0.1791519,0.2312633],"study_design_scores_gemma":[0.0001997068,0.0002759557,0.543497,0.002716707,0.0001073898,0.00081598,0.1936984,0.004103805,0.001249206,0.01792786,0.2352676,0.0001404674],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7712977,0.004884509,0.0009470308,0.108415,0.0003378786,0.0003768676,0.0004579118,0.0000558607,0.1132273],"genre_scores_gemma":[0.9621573,0.00168865,0.0007531915,0.004678761,0.00004193135,0.0001214922,0.0001024821,0.00001549344,0.03044066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05749291,"threshold_uncertainty_score":0.2523993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2069202697771254,"score_gpt":0.4473074988818543,"score_spread":0.2403872291047289,"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."}}