{"id":"W4285276061","doi":"10.4095/330087","title":"Water level data from the Bells Corners Borehole Calibration Facility (2019-2021), Ottawa, Ontario","year":2022,"lang":"en","type":"report","venue":"","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Borehole; Bedrock; Hydrogeology; Groundwater; Calibration; Geology; Geological survey; Hydrology (agriculture); Remote sensing; Groundwater flow; Environmental science; Mining engineering; Aquifer; Geotechnical engineering; Geomorphology; Geophysics","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":[0.0004354136,0.0005810144,0.0003709744,0.001414497,0.002256684,0.001116822,0.0009000281,0.000381419,0.009940444],"category_scores_gemma":[0.001309558,0.0004032268,0.0002944991,0.005246093,0.0003551656,0.0004726244,0.0005243137,0.0004593197,0.003849555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01885873,"about_ca_system_score_gemma":0.03321998,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9908103,"about_ca_topic_score_gemma":0.9973716,"domain_scores_codex":[0.9987971,0.00002575437,0.00004205956,0.0001504563,0.0008049363,0.0001798176],"domain_scores_gemma":[0.9965993,0.00007282491,0.000207966,0.0001559083,0.00274815,0.0002159326],"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":[0.0005280641,0.000184591,0.2818592,0.0005772633,0.0001317726,0.0003013061,0.001288387,0.004514177,0.005250949,0.001736842,0.6524451,0.05118227],"study_design_scores_gemma":[0.00008432529,0.0000462856,0.7070413,0.00007710131,0.00003561613,0.00005153345,0.0007984682,0.002519722,0.002810225,0.0001605644,0.286309,0.00006586836],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.05494184,0.0001552784,0.0009730341,0.0003354284,0.00004003001,0.0002162207,0.9134973,0.0003305019,0.02951043],"genre_scores_gemma":[0.1655421,0.0004958434,0.004114946,0.0001691188,0.00001953664,0.0002911848,0.7652238,0.0001605535,0.06398298],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01885873,"threshold_uncertainty_score":0.1368303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08990814619423343,"score_gpt":0.2620779047771337,"score_spread":0.1721697585829002,"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."}}