{"id":"W2160294534","doi":"10.1190/1.3554710","title":"Regularized migration for imaging and data reconstruction","year":2011,"lang":"en","type":"article","venue":"Geophysics","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Geology; Computer science; Seismology; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009224456,0.00004549632,0.00007980699,0.00001674181,0.00004794323,0.000007590863,0.0000556142,0.00001892056,0.00001230945],"category_scores_gemma":[0.0000376898,0.00004036061,0.00001525742,0.00004769552,0.00005890485,0.00009718543,0.00003960138,0.00004911793,0.0000029152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005656046,"about_ca_system_score_gemma":0.00001904385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005809222,"about_ca_topic_score_gemma":0.000001727991,"domain_scores_codex":[0.9996158,0.000004392533,0.00009025358,0.0001673933,0.00004787548,0.00007427908],"domain_scores_gemma":[0.9994915,0.00001444659,0.00003671898,0.0003639166,0.00004617765,0.00004720535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000115439,0.0001991489,0.007731646,0.0001636357,0.000044158,0.000002566185,0.0004538884,1.29756e-8,0.1014692,0.028143,0.03182556,0.8298517],"study_design_scores_gemma":[0.006741509,0.0003888798,0.06585431,0.0005917287,0.001193182,0.0006084478,0.0007912815,0.2508513,0.0655553,0.4606183,0.1459122,0.0008935019],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4969372,0.0001025955,0.4885567,0.01001567,0.0001796485,0.001334828,0.00007250023,0.0003847793,0.002416048],"genre_scores_gemma":[0.436878,0.00008162441,0.5614107,0.0006156807,0.0002583823,0.00008213764,0.0003549984,0.00001630562,0.0003022405],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8289582,"threshold_uncertainty_score":0.1645858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06584461101374384,"score_gpt":0.3194912513018576,"score_spread":0.2536466402881137,"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."}}