{"id":"W3113182118","doi":"","title":"Spectral Decomposition and Harmonic Bandwidth Extrapolation: A Case Study of a Channel System on a 3D Multicomponent Survey in Southern Alberta, Canada","year":2017,"lang":"en","type":"dissertation","venue":"","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Extrapolation; Bandwidth (computing); Decomposition; Harmonic; Channel (broadcasting); Geography; Telecommunications; Computer science; Physics; Mathematics; Statistics; Chemistry; Acoustics","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":[0.0004298439,0.0004234807,0.0003634378,0.001409646,0.00306434,0.001564165,0.001158806,0.0009310158,0.001406397],"category_scores_gemma":[0.001503597,0.000281287,0.0002616482,0.004134873,0.001063395,0.000377216,0.00073189,0.0005046293,0.0002192494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008288149,"about_ca_system_score_gemma":0.01529808,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9846827,"about_ca_topic_score_gemma":0.9947979,"domain_scores_codex":[0.9994341,0.00003247918,0.00001227403,0.00006027412,0.0002511565,0.0002097449],"domain_scores_gemma":[0.9993259,0.0001115986,0.00003568575,0.00003464199,0.0004052236,0.00008690559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007371866,0.0004395191,0.5827847,0.0003515351,0.0001730326,0.01013199,0.01327307,0.1041869,0.02415478,0.004254251,0.009996966,0.2495162],"study_design_scores_gemma":[0.00005399729,0.00009818911,0.8280727,0.0001208241,0.0001317179,0.001032754,0.03044851,0.1170006,0.004894638,0.001605302,0.01641839,0.000122424],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876049,0.0001910963,0.003803482,0.0002441642,0.000009743962,0.00007165181,0.0006559999,0.0001020772,0.007316888],"genre_scores_gemma":[0.9889498,0.0001555839,0.006421749,0.00004090068,0.000004715823,0.000009126157,0.0004178367,0.00003441667,0.00396587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01531732,"threshold_uncertainty_score":0.06013501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02367634614489449,"score_gpt":0.2496930818683265,"score_spread":0.226016735723432,"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."}}