{"id":"W7098586974","doi":"","title":"Chapter 3 Seismic Image Analysis Using Local Spectra","year":2015,"lang":"en","type":"article","venue":"","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Image (mathematics); Group (periodic table); Geophysical imaging; Spectral line","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003799847,0.0005512962,0.0004150712,0.00114339,0.0003272044,0.00185595,0.0006300351,0.0006078696,0.01261978],"category_scores_gemma":[0.000771306,0.0003623515,0.0007923809,0.00101934,0.0006150499,0.0009922911,0.0006423392,0.0008837361,0.004884485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00047101,"about_ca_system_score_gemma":0.0005239809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002128399,"about_ca_topic_score_gemma":0.001921699,"domain_scores_codex":[0.9997976,0.00002306536,0.00001017465,0.00005012141,0.0001055888,0.00001345659],"domain_scores_gemma":[0.9998386,0.00004580135,0.000009416626,0.00002779816,0.00007115385,0.000007212916],"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":[0.00008314782,0.00006113473,0.001004716,0.0008512433,0.000111538,0.0003234271,0.0005608695,0.08094487,0.09384149,0.1783393,0.04699955,0.5968787],"study_design_scores_gemma":[0.00002157038,0.00008223374,0.003030058,0.0002879523,0.00007732391,0.0007403599,0.0004015789,0.3856572,0.05994442,0.1634422,0.3862222,0.00009289299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003252346,0.002282621,0.9739354,0.0003683169,0.0002223733,0.00008170536,0.0002549381,0.001032625,0.01856964],"genre_scores_gemma":[0.07862256,0.01108506,0.8090897,0.0003426124,0.0006938727,0.0002179128,0.001085577,0.001204957,0.09765778],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01261978,"threshold_uncertainty_score":0.04221731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01442987156330723,"score_gpt":0.2795993478832405,"score_spread":0.2651694763199333,"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."}}