{"id":"W2982200929","doi":"10.4095/214575","title":"The role of GIS and expert knowledge in 3-D modelling, Oak Ridges Moraine, southern Ontario","year":2006,"lang":"en","type":"report","venue":"","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Borehole; Geology; Expert system; Context (archaeology); Thematic map; Raster graphics; Data mining; Cartography; Computer science; Artificial intelligence; Geography; Paleontology","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":[0.0006847819,0.0003524112,0.0001828201,0.0007983822,0.001586713,0.002525504,0.0006731719,0.0003986238,0.00322261],"category_scores_gemma":[0.002978649,0.0003879283,0.0002090473,0.001335848,0.001243914,0.0007357621,0.0007518894,0.0002621178,0.0003368866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01581687,"about_ca_system_score_gemma":0.0152445,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9673674,"about_ca_topic_score_gemma":0.980935,"domain_scores_codex":[0.9994747,0.0001265954,0.00002799509,0.00005510156,0.0002669554,0.00004865033],"domain_scores_gemma":[0.9992074,0.0003171969,0.00005307994,0.00005766083,0.0002832933,0.00008131433],"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":[0.0002159585,0.00009926964,0.1256488,0.0003680937,0.00008448883,0.001490112,0.007930008,0.5505727,0.004276564,0.05535376,0.0367164,0.2172439],"study_design_scores_gemma":[0.00004169819,0.00004274688,0.06386662,0.0002150985,0.00006440972,0.0002265547,0.00439202,0.7587678,0.002554245,0.01328035,0.156467,0.00008136997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5811251,0.002840752,0.1530136,0.007107647,0.00009178879,0.0006772093,0.006934303,0.001657369,0.2465522],"genre_scores_gemma":[0.8729868,0.002006787,0.07743669,0.0001009227,0.00001547569,0.0001511679,0.002144168,0.0001656585,0.0449922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03263265,"threshold_uncertainty_score":0.1147599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03111718649985645,"score_gpt":0.2290094414512182,"score_spread":0.1978922549513618,"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."}}