{"id":"W2032135218","doi":"10.3189/2013aog64a106","title":"Vertical seismic profiling of glaciers: appraising multi-phase mixing models","year":2013,"lang":"en","type":"article","venue":"Annals of Glaciology","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Vetenskapsrådet; U.S. Geological Survey; Queen's University; Swansea University; Queen's University Belfast; Alaska Climate Adaptation Science Center, University of Alaska Fairbanks; British Society for Geomorphology; Quaternary Research Association; Earth and Space Foundation","keywords":"Geology; Borehole; Seismology; Vertical seismic profile; Glacier; Offset (computer science); Geodesy; Geomorphology; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0006569909,0.0006027219,0.0002578994,0.0006360172,0.0002375193,0.0006588249,0.0004823853,0.0007385584,0.000676252],"category_scores_gemma":[0.001881663,0.0003063783,0.0003816357,0.00037873,0.0002523943,0.0007331064,0.0003993111,0.0003101495,0.0001457199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005698886,"about_ca_system_score_gemma":0.0003312701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0111767,"about_ca_topic_score_gemma":0.004242043,"domain_scores_codex":[0.9998879,0.00004219622,0.000006852491,0.0000209807,0.00002227411,0.00001977605],"domain_scores_gemma":[0.9994809,0.0003279491,0.00006905548,0.00003141373,0.00005444394,0.00003614939],"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":[0.00007988969,0.0000284604,0.01087279,0.00001471175,0.00001918342,0.00005205075,0.00003417927,0.9795576,0.003240707,0.0005009127,0.00004573098,0.005553755],"study_design_scores_gemma":[0.000002937095,0.00001307689,0.001111405,0.000001455255,0.000002534541,0.000005431715,0.000008450993,0.9984269,0.0002853708,0.000112791,0.00002746726,0.000002203509],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9384156,0.0001601098,0.05918897,0.00015779,0.0000113243,0.00003312723,0.0001067903,0.0002139188,0.001712347],"genre_scores_gemma":[0.9962028,0.00005296133,0.003463288,0.000005699486,0.000004211207,0.000006938063,0.00004824916,0.00001474087,0.0002012108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0111767,"threshold_uncertainty_score":0.02222329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1362311076994842,"score_gpt":0.3314649931974912,"score_spread":0.1952338854980071,"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."}}