{"id":"W2052440946","doi":"10.1016/j.tecto.2010.07.008","title":"Mapping correlation lengths of lower crustal heterogeneities together with their maximum-likelihood uncertainties","year":2010,"lang":"en","type":"article","venue":"Tectonophysics","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Geology; Crust; Scale (ratio); Tectonics; Deformation (meteorology); Terrain; Seismology; Reflection (computer programming); Line (geometry); Shear (geology); Maximum likelihood; Geodesy; Geometry; Geophysics; Statistics; Petrology; Mathematics; Cartography","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":[0.0001277524,0.0001810781,0.0001925401,0.00004448927,0.0001043389,0.00005091629,0.0004774864,0.00009099187,0.000038406],"category_scores_gemma":[0.00002388493,0.0001406785,0.00007232546,0.0002606705,0.0001505803,0.0002582817,0.0001501547,0.0002617323,0.000009666762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001146182,"about_ca_system_score_gemma":0.00006983356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003504166,"about_ca_topic_score_gemma":0.00001291263,"domain_scores_codex":[0.9990615,0.00002105722,0.0001903786,0.0002831534,0.0001766998,0.0002672683],"domain_scores_gemma":[0.9989906,0.00007584102,0.0001579222,0.0005444605,0.0001849958,0.00004617795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001633981,0.0006821712,0.01007833,0.0004318364,0.0003952733,0.00005131706,0.02025495,0.01637031,0.6710618,0.07063054,0.0005153971,0.2093647],"study_design_scores_gemma":[0.001437823,0.0007832861,0.005119311,0.0002111271,0.00002980353,0.00009933733,0.002856909,0.09672336,0.6770502,0.1961899,0.0180745,0.001424403],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8549089,0.00002410591,0.1337088,0.000295819,0.0003306752,0.0001204569,0.000004154817,0.0001498262,0.01045718],"genre_scores_gemma":[0.993086,0.000002272664,0.006524912,0.00006279226,0.00008552821,0.00001148148,0.000004297093,0.000005915248,0.00021683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2079403,"threshold_uncertainty_score":0.5736703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008582012487901292,"score_gpt":0.1952362886015682,"score_spread":0.1866542761136669,"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."}}