{"id":"W2038095699","doi":"10.1190/1.1816197","title":"Improving equivalent offset migration by radon techniques","year":2000,"lang":"en","type":"article","venue":"","topic":"Nuclear and radioactivity studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Offset (computer science); Radon; Computer science; Physics; Operating system; Nuclear 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":[0.000576506,0.001243881,0.0007372614,0.001316493,0.0005667344,0.001061576,0.0009836972,0.0008538687,0.01222482],"category_scores_gemma":[0.003036455,0.0003755927,0.0006470957,0.001282079,0.0004764487,0.002155856,0.001473514,0.0008824479,0.005181669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005259572,"about_ca_system_score_gemma":0.001046445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003817666,"about_ca_topic_score_gemma":0.006475059,"domain_scores_codex":[0.9994788,0.00008823531,0.00002352496,0.00009977567,0.0002347649,0.00007510118],"domain_scores_gemma":[0.9993258,0.0001525921,0.00005615264,0.0001637934,0.0002770419,0.00002464879],"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":[0.0006054477,0.0003154765,0.004274298,0.000223991,0.00007673565,0.0001656769,0.0002139666,0.1178377,0.07806998,0.01735759,0.01315403,0.7677051],"study_design_scores_gemma":[0.000192003,0.0004790789,0.004633799,0.0001140292,0.0002508914,0.0007722235,0.0005047588,0.7564748,0.1510978,0.01930517,0.06603849,0.0001369392],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04370029,0.0008027038,0.9354113,0.0004018272,0.0002894776,0.00005931947,0.0001781934,0.003962949,0.01519388],"genre_scores_gemma":[0.3627583,0.001165364,0.6103064,0.000224247,0.0001258723,0.00008105813,0.000873186,0.001314983,0.02315043],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01222482,"threshold_uncertainty_score":0.04089612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004328966281140945,"score_gpt":0.1895442491173959,"score_spread":0.185215282836255,"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."}}