{"id":"W2272293496","doi":"","title":"Groundwater Quality in Canada: A National Overview","year":2007,"lang":"en","type":"article","venue":"Tunnelling and Underground Space Technology","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Water quality; Environmental planning; Aquifer; Groundwater; Water resources; Business; Government (linguistics); Geological survey; Population; Water supply; Natural resource; Water resource management; Environmental resource management; Environmental science; Engineering; Environmental health; Environmental engineering; Political science; Law","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":[0.00170762,0.0007399776,0.0008131229,0.009652569,0.003509243,0.003196409,0.001203306,0.0007927064,0.003971698],"category_scores_gemma":[0.001445422,0.0003893324,0.0008295944,0.0269418,0.001223346,0.001114501,0.001694497,0.001008407,0.0005564661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05797933,"about_ca_system_score_gemma":0.1691762,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9940501,"about_ca_topic_score_gemma":0.9955841,"domain_scores_codex":[0.9978279,0.00007781725,0.0001844542,0.0001619623,0.001259669,0.0004881357],"domain_scores_gemma":[0.993097,0.0001769313,0.0002960432,0.00006485671,0.005260809,0.001104284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002817795,0.0002765082,0.2397175,0.007677703,0.0002759847,0.0004466875,0.001326896,0.001852878,0.0009292121,0.003566645,0.1131314,0.6305168],"study_design_scores_gemma":[0.00002193927,0.000114579,0.7340531,0.002260214,0.0002756275,0.0003639685,0.002042165,0.0007681815,0.0004786238,0.0005315109,0.2589905,0.0000996097],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1032197,0.6393353,0.003652462,0.03528466,0.00094828,0.0007901271,0.08069053,0.00130147,0.1347774],"genre_scores_gemma":[0.3713893,0.5736251,0.006069722,0.004158247,0.0002920048,0.0002472377,0.02742865,0.0001014832,0.01668823],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.05797933,"threshold_uncertainty_score":0.4206715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02415484463536232,"score_gpt":0.2613919140256208,"score_spread":0.2372370693902585,"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."}}