{"id":"W2098283629","doi":"10.1007/s11430-006-0283-y","title":"Multifractal modelling and spectrum analysis: Methods and applications to gamma ray spectrometer data from southwestern Nova Scotia, Canada","year":2006,"lang":"en","type":"article","venue":"Science in China Series D Earth Sciences","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Multifractal system; Variogram; Fractal; Autocorrelation; Geostatistics; Statistical physics; Spectral density; Measure (data warehouse); Mathematics; Geology; Statistics; Kriging; Physics; Computer science; Spatial variability; Data mining; Mathematical analysis","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":[],"consensus_categories":[],"category_scores_codex":[0.001863909,0.000186688,0.0002556947,0.0003448795,0.0005466785,0.0008267154,0.002278996,0.00003541195,0.00002488316],"category_scores_gemma":[0.0000870418,0.0001605012,0.00001968197,0.004175023,0.001013594,0.001804343,0.001182674,0.0001474178,0.000003070374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002158027,"about_ca_system_score_gemma":0.0004412384,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3832034,"about_ca_topic_score_gemma":0.6848821,"domain_scores_codex":[0.9971033,0.00005942726,0.0003151561,0.00140353,0.0005384972,0.0005800567],"domain_scores_gemma":[0.9986641,0.0001519197,0.0001137226,0.0008471651,0.00004596144,0.0001770835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002044345,0.0001370945,0.4690255,0.00004785769,0.00005271541,0.00006254199,0.003784566,0.4722549,0.02258453,0.008862226,0.00007048731,0.02309712],"study_design_scores_gemma":[0.0001024391,0.00004284895,0.2461531,0.00001762068,0.00001776386,0.00002146855,0.0004540551,0.7331695,0.004956605,0.01371123,0.0009767038,0.0003766396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6781898,0.0001041708,0.3175072,0.002870951,0.000118415,0.0001460566,0.00001581934,0.00002843116,0.001019202],"genre_scores_gemma":[0.7665821,0.000005413904,0.2331974,0.00007124841,0.00004682008,0.000003799869,0.000005871886,0.000001203511,0.00008618291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3016788,"threshold_uncertainty_score":0.7972035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03032556277360395,"score_gpt":0.2864740065632737,"score_spread":0.2561484437896698,"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."}}