{"id":"W2912908097","doi":"10.4095/313601","title":"Hydrogeological terrains and typical settings of southern Ontario","year":2019,"lang":"en","type":"report","venue":"","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Hydrogeology; Bedrock; Geology; Groundwater; Terrain; Hydrology (agriculture); Groundwater flow; Surface water; Structural basin; Geomorphology; Aquifer; Environmental science; Geography; Cartography","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":[0.0001025111,0.0001313708,0.0001030538,0.001744136,0.001289328,0.0007462135,0.0002922163,0.00009317889,0.002024947],"category_scores_gemma":[0.00042138,0.0001425827,0.0001274437,0.003746421,0.0007145392,0.0002155107,0.0004113235,0.0000783567,0.0001351303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01022859,"about_ca_system_score_gemma":0.006635299,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9413604,"about_ca_topic_score_gemma":0.9876002,"domain_scores_codex":[0.9998538,0.000008498496,0.00001132509,0.00002510684,0.000057936,0.00004325386],"domain_scores_gemma":[0.9997074,0.00001950953,0.00007765735,0.00001743441,0.0001234886,0.00005449826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001332194,0.00002707749,0.8700851,0.0009544579,0.00007469564,0.001783593,0.01286456,0.00438991,0.009942692,0.006867602,0.01018181,0.08269534],"study_design_scores_gemma":[0.000003656376,0.000008170877,0.9798946,0.00005072037,0.00001004966,0.0002096305,0.002786932,0.000363343,0.0002225348,0.0002741797,0.01616596,0.00001034102],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9475846,0.001598748,0.0008738673,0.0002100172,0.000005357358,0.000119932,0.01060305,0.00006529312,0.03893924],"genre_scores_gemma":[0.9894361,0.001436959,0.001350632,0.00001816393,0.00000313091,0.00003503714,0.003457734,0.00001078232,0.004251431],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05863965,"threshold_uncertainty_score":0.1179699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0184528329357979,"score_gpt":0.2275571709998172,"score_spread":0.2091043380640193,"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."}}