{"id":"W7100972699","doi":"","title":"ISPRS SIPT GIS Spatial Modeling of Landscape and Water Systems in GTA, Canada","year":2008,"lang":"en","type":"article","venue":"","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Groundwater recharge; Hydrology (agriculture); Digital elevation model; Aquifer; Elevation (ballistics); Drainage basin; Surface water; Drainage; Drainage system (geomorphology); Hydrological modelling","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":[0.0002184242,0.0006914327,0.000348158,0.002809378,0.001403339,0.003104888,0.00102216,0.0003460304,0.01198441],"category_scores_gemma":[0.0008274363,0.0003413561,0.0007071563,0.006626454,0.0004590164,0.0006946691,0.0007669671,0.000358744,0.00251915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01746329,"about_ca_system_score_gemma":0.02049567,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9902645,"about_ca_topic_score_gemma":0.9918737,"domain_scores_codex":[0.9997366,0.00001994719,0.00001316585,0.00004081967,0.0001379257,0.0000516298],"domain_scores_gemma":[0.9994795,0.00003204982,0.00002012683,0.00004593745,0.0003843505,0.00003801411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001100436,0.0001064472,0.04533704,0.000332452,0.0001514191,0.0005629561,0.0009462313,0.4988917,0.002578996,0.02594884,0.1275694,0.2974644],"study_design_scores_gemma":[0.00004806352,0.00002419844,0.05262613,0.0001750959,0.00006882937,0.0001556807,0.001673442,0.7294924,0.001686635,0.005789884,0.2081747,0.00008496374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.2769064,0.0022874,0.157965,0.002024701,0.0002282467,0.001318544,0.2683588,0.01522115,0.2756897],"genre_scores_gemma":[0.6111099,0.003284025,0.1765828,0.0001401026,0.00002646899,0.0005853629,0.104291,0.001165789,0.1028146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01746329,"threshold_uncertainty_score":0.1267057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008402417106325959,"score_gpt":0.1688943025424522,"score_spread":0.1604918854361262,"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."}}