{"id":"W2981364221","doi":"10.4095/221896","title":"Geological frameworks in support of source water protection in Ontario","year":2006,"lang":"en","type":"report","venue":"","topic":"Groundwater and Watershed Analysis","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Water source; Earth science; Environmental science; Geology; Environmental resource management; Water resource management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001358822,0.0003313851,0.0003303186,0.002383356,0.005587662,0.002492282,0.001459407,0.0007604688,0.007696787],"category_scores_gemma":[0.006208575,0.0005320733,0.0003888649,0.006017729,0.001043733,0.0007458915,0.001843735,0.0007609686,0.000547794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05526953,"about_ca_system_score_gemma":0.2309988,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995695,"about_ca_topic_score_gemma":0.9990417,"domain_scores_codex":[0.9965508,0.0002139621,0.000148663,0.0001109625,0.002074092,0.0009014945],"domain_scores_gemma":[0.9913087,0.0005660285,0.0006672245,0.0002257504,0.005660868,0.001571445],"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":[0.0004449529,0.0002045095,0.341178,0.001593024,0.00019978,0.001979182,0.01580388,0.005811164,0.003205715,0.06024053,0.4497412,0.1195981],"study_design_scores_gemma":[0.00006433343,0.00004705029,0.6140895,0.0002774888,0.00009013737,0.0001950697,0.01320915,0.00189516,0.001243551,0.00110309,0.3677371,0.00004839203],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4534286,0.004068238,0.002912233,0.02928432,0.0003493097,0.001933393,0.1119036,0.0006991737,0.3954211],"genre_scores_gemma":[0.7025308,0.006225947,0.01222808,0.001773845,0.00009172642,0.0007686983,0.0350625,0.0002014592,0.2411169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05526953,"threshold_uncertainty_score":0.4010104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01892898008614688,"score_gpt":0.2199697330440798,"score_spread":0.2010407529579329,"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."}}