{"id":"W4280608132","doi":"10.1190/geo2021-0692.1","title":"Phantom subsurface targets in ground-penetrating radar data","year":2022,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petro-Canada","funders":"","keywords":"Ground-penetrating radar; Geology; Radar; Energy (signal processing); Field (mathematics); Impression; Interpretation (philosophy); SIGNAL (programming language); Remote sensing; Computer science; Acoustics; Geophysics; Seismology; Telecommunications; Physics","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":[0.001232038,0.0003051854,0.0002829983,0.0007517654,0.0001731527,0.0007947039,0.000282168,0.0005059485,0.001654406],"category_scores_gemma":[0.004782071,0.0001513171,0.0001954474,0.00113637,0.000440806,0.000744546,0.0006469369,0.000380942,0.0006374199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003367248,"about_ca_system_score_gemma":0.0002660166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009327928,"about_ca_topic_score_gemma":0.0006658289,"domain_scores_codex":[0.999122,0.0002917425,0.00006759738,0.00009673169,0.0003616978,0.00006016274],"domain_scores_gemma":[0.9969432,0.001880816,0.0002229864,0.0004382865,0.0004768748,0.00003785369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001295129,0.0002995383,0.02050249,0.0004483298,0.00004716726,0.003436774,0.001139161,0.3802698,0.1686411,0.01701581,0.003974619,0.4029301],"study_design_scores_gemma":[0.00005992182,0.0007758916,0.01958399,0.0000819081,0.00003533968,0.002691172,0.000664101,0.7944207,0.1561828,0.008965042,0.01645983,0.00007930859],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4479841,0.0002111841,0.54445,0.0002297908,0.00009029066,0.0001608298,0.001264691,0.001461519,0.004147572],"genre_scores_gemma":[0.8707966,0.00009592492,0.1258934,0.00003886758,0.00001225448,0.00007263671,0.001581517,0.00008051077,0.001428368],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001654406,"threshold_uncertainty_score":0.006515741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03182736621558261,"score_gpt":0.2679895047664768,"score_spread":0.2361621385508942,"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."}}