{"id":"W2911849307","doi":"10.4095/313561","title":"Geospatial distribution of chemical, bacteriological and gas parameters in southern Ontario groundwater","year":2019,"lang":"en","type":"report","venue":"","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geospatial analysis; Groundwater; Distribution (mathematics); Environmental science; Geography; Remote sensing; Geology; Mathematics","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":[0.000180367,0.0001978421,0.0002039012,0.002605821,0.001197146,0.0007252538,0.0002936879,0.0001465184,0.00184923],"category_scores_gemma":[0.0008106241,0.0002201888,0.0002570709,0.006078752,0.0005455603,0.0001833643,0.0006821222,0.0001064794,0.000195317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01365447,"about_ca_system_score_gemma":0.01143256,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.988151,"about_ca_topic_score_gemma":0.9951736,"domain_scores_codex":[0.9996521,0.00001739081,0.00001968553,0.00005769326,0.0001636184,0.00008949711],"domain_scores_gemma":[0.9993421,0.00005137278,0.0001403365,0.00003099025,0.0003235852,0.0001115436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008730136,0.00001040137,0.9803976,0.00009765174,0.0000477338,0.0002313016,0.001747397,0.0006804077,0.002252441,0.0004102077,0.002348251,0.01168943],"study_design_scores_gemma":[0.000003277667,0.000006126134,0.9948229,0.00001415262,0.00001021261,0.00003869163,0.001104596,0.0003926837,0.0001183499,0.00003690182,0.003444809,0.000007331581],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807732,0.0004257416,0.0002341661,0.0001694058,0.000004737073,0.00003840579,0.01284282,0.00004139809,0.005470083],"genre_scores_gemma":[0.9906054,0.0003793548,0.0004160926,0.00002420358,0.000002272597,0.00003091314,0.005160889,0.000007355794,0.003373596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01365447,"threshold_uncertainty_score":0.09907061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0208937920815054,"score_gpt":0.2203199123532676,"score_spread":0.1994261202717622,"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."}}