{"id":"W2858637132","doi":"10.1139/cjes-2017-0172","title":"Conceptual hydrogeological model of the Yonge Street Aquifer, south-central Ontario: a glaciofluvial channel–fan setting","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Earth Sciences","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto and Region Conservation Authority; Geological Survey of Canada","funders":"","keywords":"Geology; Aquifer; Bedrock; Hydrogeology; Channel (broadcasting); Geomorphology; Channelized; Facies; Groundwater; Geochemistry; Petrology; Hydrology (agriculture); Geotechnical engineering; Structural basin","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00007126655,0.0002794623,0.0001331912,0.0007967132,0.001428144,0.001659065,0.001386692,0.0004484575,0.005055758],"category_scores_gemma":[0.000224013,0.0002320397,0.0001930088,0.001093164,0.001836325,0.0005850546,0.0007229731,0.0002370053,0.0004252055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01584941,"about_ca_system_score_gemma":0.01156997,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8963147,"about_ca_topic_score_gemma":0.9357368,"domain_scores_codex":[0.9999251,0.00000658377,0.000004126121,0.00001842186,0.00002379793,0.00002181415],"domain_scores_gemma":[0.9998952,0.000005915913,0.00001238238,0.000004297032,0.00004944291,0.00003264289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001520501,0.0001528222,0.1754637,0.0004041585,0.00007288941,0.002257445,0.007614118,0.5096272,0.0112429,0.2276471,0.01743419,0.04793138],"study_design_scores_gemma":[0.000132164,0.00009106005,0.2540859,0.0002557401,0.00009413043,0.0005333923,0.01405221,0.6000106,0.000736055,0.0349518,0.09486848,0.0001884974],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8064074,0.0008185905,0.03022208,0.002644354,0.00005098914,0.0003163671,0.005212474,0.0003784021,0.1539494],"genre_scores_gemma":[0.9835354,0.0004278847,0.003854264,0.00005491526,0.000008376074,0.00008735688,0.000687941,0.00002498657,0.01131885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1036853,"threshold_uncertainty_score":0.2085917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03197990028168924,"score_gpt":0.2066628218833441,"score_spread":0.1746829216016549,"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."}}