{"id":"W2897819812","doi":"10.3997/2214-4609.201800880","title":"Illumination Compensation with Seismic-While-Drilling Plus Surface Seismic Imaging","year":2018,"lang":"en","type":"article","venue":"Proceedings","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Geophysical imaging; Drilling; Deconvolution; Workflow; Geology; Computer science; Drill; Drill bit; Vertical seismic profile; Seismic wave; Seismology; Algorithm; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003506709,0.0006264479,0.0004451155,0.0004682071,0.0002394566,0.0005936417,0.0006154461,0.0005449841,0.002215513],"category_scores_gemma":[0.0009323739,0.0003140365,0.000658591,0.0006251035,0.0002585294,0.0006999826,0.0007780322,0.0007459835,0.0009351822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003072142,"about_ca_system_score_gemma":0.001074968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004089524,"about_ca_topic_score_gemma":0.006075642,"domain_scores_codex":[0.9997881,0.00002622997,0.00001264288,0.00004252718,0.00008934392,0.00004112146],"domain_scores_gemma":[0.9997348,0.00003931584,0.00003199943,0.00007252354,0.0001002669,0.00002104042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005505369,0.0002138856,0.004606671,0.0002477557,0.0001113307,0.0001828788,0.0001994822,0.2170285,0.2931061,0.003152007,0.003478907,0.4771219],"study_design_scores_gemma":[0.00003099576,0.0001162438,0.003029365,0.00001075677,0.00003045599,0.0001199341,0.0000536808,0.9165806,0.07380648,0.0012658,0.004913914,0.00004176385],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.122559,0.0001297187,0.8686578,0.0002196517,0.00009933276,0.0000687821,0.0004587225,0.005085604,0.00272134],"genre_scores_gemma":[0.342611,0.000103503,0.6539797,0.00007278039,0.00003031702,0.00005439958,0.001006468,0.0002569252,0.001884974],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004089524,"threshold_uncertainty_score":0.008131444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01393223273987676,"score_gpt":0.2106989274192383,"score_spread":0.1967666946793615,"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."}}