{"id":"W6929695059","doi":"10.5066/p9tzt33j","title":"GIS Data for Geologic and Structure Maps of the Kalispell 1 x 2 Degrees Quadrangle, Montana, and Alberta and British Columbia","year":2022,"lang":"en","type":"dataset","venue":"USGS DOI Tool Production Environment","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geologic map; Geospatial analysis; Geological survey; Scale (ratio); Thematic map; Geographic information system; Digital data; Schema (genetic algorithms)","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":[0.0008119034,0.0007986721,0.0007048736,0.006141155,0.001964632,0.003098789,0.001892992,0.0004782558,0.114031],"category_scores_gemma":[0.004678637,0.0005723526,0.0003165971,0.02006706,0.0004529616,0.001051329,0.001290773,0.001280549,0.038781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01133651,"about_ca_system_score_gemma":0.03096557,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9448025,"about_ca_topic_score_gemma":0.962732,"domain_scores_codex":[0.9985778,0.00004607854,0.00008031544,0.0001354502,0.0009953853,0.0001649203],"domain_scores_gemma":[0.9947076,0.0002418784,0.0001824762,0.0003145017,0.004240447,0.0003130071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003775752,0.00002384957,0.003198569,0.0001898356,0.00001383172,0.00005088937,0.0002893941,0.000305042,0.0001980639,0.001590718,0.9728971,0.02120489],"study_design_scores_gemma":[0.00005503423,0.000007303833,0.04428656,0.0001981012,0.00002082833,0.00005511349,0.001148004,0.0005846099,0.0003730636,0.0009878096,0.952235,0.00004842463],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002450459,0.000128511,0.001415822,0.0002907444,0.000082031,0.0001748252,0.9395382,0.001000538,0.05491888],"genre_scores_gemma":[0.007822291,0.0004124037,0.005917134,0.00009506345,0.00001598033,0.0003276624,0.9335396,0.0004449333,0.05142504],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.114031,"threshold_uncertainty_score":0.3814718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01357669388693731,"score_gpt":0.207817685940375,"score_spread":0.1942409920534377,"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."}}