{"id":"W7053389157","doi":"","title":"Water wells &amp; ground water supplies in Ontario","year":2019,"lang":"en","type":"report","venue":"The Atrium (University of Guelph)","topic":"Nuclear reactor physics and engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Groundwater; Water quality; Water well; Quality (philosophy); Hydrology (agriculture); Aquifer","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":[0.0001757131,0.0003432324,0.0001318012,0.0009291414,0.002732124,0.001270721,0.0003264249,0.0003345388,0.06454731],"category_scores_gemma":[0.0005162728,0.000332261,0.0001803615,0.003637621,0.0004277499,0.000583754,0.0005134414,0.0003588322,0.007803792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02284182,"about_ca_system_score_gemma":0.04038306,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9792211,"about_ca_topic_score_gemma":0.9940575,"domain_scores_codex":[0.9990972,0.00002229612,0.00002757163,0.00005658367,0.0006174658,0.0001789632],"domain_scores_gemma":[0.9993206,0.00003925311,0.00007096035,0.00002017708,0.0004337645,0.0001151631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001754877,0.00008842382,0.04972218,0.001141791,0.00002361617,0.001234128,0.00389735,0.0009402246,0.007299709,0.01508394,0.6876814,0.2327118],"study_design_scores_gemma":[0.000009449759,0.00002123764,0.08528812,0.0000884323,0.000003664717,0.0001119017,0.001629145,0.000186697,0.0009789031,0.0002149293,0.9114519,0.00001556656],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08817244,0.007753641,0.001318849,0.005791682,0.0004466613,0.0006014951,0.07775857,0.0006515589,0.8175051],"genre_scores_gemma":[0.09264998,0.0044736,0.001390271,0.0002062847,0.00002625521,0.00008131439,0.008422134,0.00009136636,0.8926588],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06454731,"threshold_uncertainty_score":0.2159323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01913899873873789,"score_gpt":0.1840135220477219,"score_spread":0.164874523308984,"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."}}