{"id":"W3131877133","doi":"10.1190/geo2020-0562.1","title":"Time-lapse detection using raypath interferometry","year":2020,"lang":"en","type":"article","venue":"Geophysics","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geology; Reflection (computer programming); Amplitude; Anomaly (physics); Seismology; Interferometry; Seismic wave; Geophysics; Geodesy; Optics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0002299836,0.0004058555,0.0001875732,0.0007341232,0.0001191224,0.0003161456,0.0004071495,0.0002711127,0.001499987],"category_scores_gemma":[0.000718863,0.0002226729,0.0002007655,0.0006977441,0.0002481922,0.000450984,0.0003140739,0.0003022988,0.0002963908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002136878,"about_ca_system_score_gemma":0.0003888065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001458141,"about_ca_topic_score_gemma":0.002105271,"domain_scores_codex":[0.9999012,0.00001985239,0.000003199448,0.00002299156,0.0000419281,0.00001084105],"domain_scores_gemma":[0.9997365,0.00009408202,0.00004829893,0.00004441247,0.00006187998,0.00001489914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003778758,0.0001574037,0.01267697,0.0001015091,0.00005667551,0.0002111353,0.0001437632,0.05177421,0.6297715,0.004069502,0.001323716,0.2993357],"study_design_scores_gemma":[0.00003954492,0.0002589027,0.01381598,0.000009253844,0.00002853744,0.0002840354,0.00004658962,0.8068736,0.172788,0.001564557,0.004253522,0.00003757581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2627587,0.00006731238,0.7322527,0.00006828469,0.00002701978,0.00009174402,0.0003076619,0.002623588,0.001803021],"genre_scores_gemma":[0.5194132,0.0001207309,0.4789786,0.00002816754,0.00001652455,0.00007051706,0.0003364662,0.0001057714,0.0009299935],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001499987,"threshold_uncertainty_score":0.005017936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01911913872477196,"score_gpt":0.204671088824033,"score_spread":0.185551950099261,"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."}}