{"id":"W2090183199","doi":"10.1115/ipc2008-64524","title":"Data Mining Seismic Shothole Drillers’ Log Records: Regional Baseline Geoscience Information in Support of Pipeline Proposal Design, Assessment, and Development","year":2008,"lang":"en","type":"article","venue":"","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada","funders":"Natural Resources Canada","keywords":"Baseline (sea); Geology; Shapefile; Geological survey; Earth science; Pipeline (software); Terrain; Database; Mining engineering; Computer science; Metadata; Cartography; Geography; Geophysics; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002331486,0.0005980856,0.0004885584,0.01538537,0.0007014441,0.002033345,0.001125768,0.0006320082,0.002341877],"category_scores_gemma":[0.01060217,0.0003523852,0.0003217024,0.019447,0.0004470999,0.001395383,0.001122619,0.0005504264,0.002863395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002397098,"about_ca_system_score_gemma":0.008843848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2973362,"about_ca_topic_score_gemma":0.3968576,"domain_scores_codex":[0.9983782,0.0001145876,0.0002769102,0.0002529815,0.0007874689,0.0001899484],"domain_scores_gemma":[0.9859861,0.001655381,0.001986653,0.001830484,0.007828081,0.0007133443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003743668,0.0003149451,0.3935779,0.001731204,0.000135648,0.001263236,0.003339213,0.005079931,0.009950938,0.001867165,0.1322548,0.4501106],"study_design_scores_gemma":[0.00006054631,0.0001356712,0.7040073,0.0007373961,0.0001726512,0.0004217313,0.00958144,0.01611623,0.01593099,0.001466533,0.2512239,0.0001454619],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.272341,0.001076701,0.01763143,0.0008778595,0.00009869216,0.001287789,0.6825289,0.004448659,0.01970892],"genre_scores_gemma":[0.3276229,0.001537042,0.06300166,0.00009673737,0.00007085305,0.0007195764,0.6003755,0.000374176,0.006201563],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2973362,"threshold_uncertainty_score":0.591211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1503999756925806,"score_gpt":0.2984710801731951,"score_spread":0.1480711044806145,"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."}}