{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001829712,0.0001411041,0.0002040242,0.00002343138,0.0003274856,0.0002093777,0.0006664271,0.00006770701,0.0003865454],"category_scores_gemma":[0.00003995993,0.0001608635,0.00002909464,0.00009254868,0.0001874689,0.0001845057,0.001511974,0.0001756042,7.585625e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003164442,"about_ca_system_score_gemma":0.00002741933,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009182577,"about_ca_topic_score_gemma":0.007711215,"domain_scores_codex":[0.9984484,0.00006219372,0.0002454382,0.000861347,0.0002545588,0.0001280793],"domain_scores_gemma":[0.9983146,0.0001087113,0.0002488839,0.001272959,0.00001465772,0.00004018153],"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":[0.000002722698,0.00005802676,0.0001538781,0.00007513528,0.00003698806,4.416609e-7,0.00003981983,0.0006894589,0.0000234933,0.0001641647,0.990902,0.007853875],"study_design_scores_gemma":[0.0001612852,0.00004792452,0.009364662,0.00001040245,0.00006241011,0.00006242886,0.00001283228,0.001557175,0.000003048246,0.007550511,0.9809751,0.000192217],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005573699,0.001051333,0.001669391,0.001836317,0.0003132551,0.001283285,0.9882555,0.00001034297,0.000006898747],"genre_scores_gemma":[0.004134659,0.001986766,0.00902608,0.0003004331,0.0003080812,0.0001946606,0.9823653,0.000026657,0.001657398],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.009926892,"threshold_uncertainty_score":0.9974154,"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."}}