{"id":"W2081276940","doi":"10.1190/1.1816511","title":"Minimum weighted norm interpolation of seismic data with adaptive weights","year":2001,"lang":"en","type":"article","venue":"","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Interpolation (computer graphics); Norm (philosophy); Computer science; Mathematics; Geology; Algorithm; Artificial intelligence; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001302495,0.00009111602,0.0001168164,0.000104179,0.00005196057,0.00001446613,0.0003239063,0.00002872831,0.00199808],"category_scores_gemma":[0.00000583114,0.00005863176,0.00001641554,0.0002002373,0.00008820031,0.0004324089,0.00002044442,0.0000722707,0.00009043328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002162967,"about_ca_system_score_gemma":0.00003434012,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009395964,"about_ca_topic_score_gemma":0.0003335672,"domain_scores_codex":[0.9992908,0.00002846888,0.0001516023,0.0002173036,0.0001711629,0.0001407153],"domain_scores_gemma":[0.9994117,0.00006028989,0.00007738583,0.0003520389,0.00004741891,0.00005119206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007570795,0.00008577461,0.4843228,0.00002180232,0.00009858383,0.00003573942,0.0005969719,0.00005806156,0.0001161789,0.0003939194,0.09438046,0.4191326],"study_design_scores_gemma":[0.0002324315,0.000234923,0.01126493,0.00003940104,0.00001600047,0.00003248841,0.0003313125,0.9506037,0.001392395,0.000920084,0.03479663,0.0001356635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6923812,0.0002373333,0.07559515,0.001284149,0.0002217919,0.0002865821,0.0001484384,0.0003044053,0.229541],"genre_scores_gemma":[0.9811657,0.00005144851,0.01654157,0.0006990749,0.00003406221,1.984754e-7,0.000286146,0.000002408116,0.001219393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9505457,"threshold_uncertainty_score":0.9989142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02389209246953599,"score_gpt":0.2248135023348471,"score_spread":0.2009214098653111,"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."}}