{"id":"W2041314276","doi":"10.1111/j.1365-246x.2004.02190.x","title":"A comparison of automatic techniques for estimating the regularization parameter in non-linear inverse problems","year":2004,"lang":"en","type":"article","venue":"Geophysical Journal International","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":312,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Underdetermined system; Regularization (linguistics); Inverse problem; Mathematics; Applied mathematics; Inverse; Inversion (geology); Mathematical optimization; Tikhonov regularization; Linear model; Computer science; Algorithm; Mathematical analysis; Statistics; Artificial intelligence; Geology; Geometry","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":[0.0095873,0.001595484,0.001229579,0.003231567,0.000847271,0.002007681,0.002366536,0.002395115,0.001243591],"category_scores_gemma":[0.03775502,0.0007330557,0.0009745836,0.001598456,0.001461577,0.00262007,0.002051892,0.00206258,0.0007515434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007766322,"about_ca_system_score_gemma":0.001758713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00271085,"about_ca_topic_score_gemma":0.005031982,"domain_scores_codex":[0.9918146,0.00417946,0.0005091767,0.0006436062,0.002636781,0.0002163571],"domain_scores_gemma":[0.972535,0.01850341,0.001488049,0.002618913,0.004626468,0.0002282036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004967187,0.0002809881,0.002521848,0.0005241844,0.0002854632,0.0001127263,0.0004468403,0.2189981,0.02018416,0.02484239,0.001482532,0.7298241],"study_design_scores_gemma":[0.00006390882,0.0001590254,0.002268536,0.00007779012,0.00003313359,0.0001787514,0.00008664577,0.9724982,0.01204544,0.01082628,0.001670071,0.00009232609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009559483,0.0003865516,0.9886793,0.00007929697,0.00001617815,0.00004002056,0.00001944798,0.0005852294,0.0006344374],"genre_scores_gemma":[0.1104011,0.000443082,0.8873802,0.00008511596,0.00004212654,0.0002101163,0.0001953539,0.0004442011,0.0007987316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0095873,"threshold_uncertainty_score":0.05070311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03102947738420715,"score_gpt":0.319854513456422,"score_spread":0.2888250360722149,"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."}}