{"id":"W3217060243","doi":"","title":"Tracking Crustal-scale Appalachian Orogenic Trends from Onshore to Offshore in Atlantic Canada, using Constrained 3-D Gravity Inversion","year":2020,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geology; Submarine pipeline; Inversion (geology); Seismology; Geodesy; Tracking (education); Oceanography; Tectonics","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":[0.0001371331,0.0003779203,0.0002650478,0.001080814,0.0009064024,0.0009168542,0.0005893905,0.0004039798,0.001007129],"category_scores_gemma":[0.0005710696,0.00024642,0.0003411261,0.001901261,0.0004452084,0.0003038082,0.0006967633,0.0004023471,0.0002276139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004258963,"about_ca_system_score_gemma":0.01030775,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9773398,"about_ca_topic_score_gemma":0.9910191,"domain_scores_codex":[0.9999003,0.000003982533,0.00000418138,0.00002847205,0.00002527056,0.00003771311],"domain_scores_gemma":[0.9997203,0.00001822404,0.00002776197,0.00001464614,0.0001585684,0.00006044665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000328006,0.0001396512,0.8732803,0.00009923799,0.000284261,0.0003498698,0.001228267,0.0545541,0.01333881,0.0005137011,0.004857749,0.0510259],"study_design_scores_gemma":[0.00003991055,0.00001750303,0.9322911,0.00003226942,0.00007202537,0.00003827224,0.001157107,0.06162067,0.0008697256,0.0001658934,0.003651755,0.00004381051],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929289,0.0001735,0.0007155843,0.00015522,0.00001483473,0.00001603697,0.003607439,0.0001347,0.002253787],"genre_scores_gemma":[0.995621,0.0001078708,0.001423378,0.00002565701,0.000003369211,0.000006585985,0.001942764,0.00001715114,0.0008523102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0226602,"threshold_uncertainty_score":0.04558724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02466348406075218,"score_gpt":0.226463207308844,"score_spread":0.2017997232480919,"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."}}