{"id":"W1520751716","doi":"","title":"Edge Effect Correction in the S-A Method for Geochemical Anomaly Separation","year":2004,"lang":"en","type":"article","venue":"中国地质大学学报：英文版","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Smoothing; Distortion (music); Fourier transform; Noise (video); Enhanced Data Rates for GSM Evolution; Frequency domain; Computer science; Algorithm; Boundary (topology); Image (mathematics); Mathematics; Artificial intelligence; Computer vision","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001091065,0.0001363201,0.0003679904,0.0001581547,0.0001195162,0.00008735682,0.000175293,0.00009554925,0.0001104834],"category_scores_gemma":[0.0001266142,0.0001193419,0.0002184523,0.0003940634,0.00001969483,0.0001357327,0.00002193502,0.0001135535,0.000142559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001473698,"about_ca_system_score_gemma":0.00001034413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005020013,"about_ca_topic_score_gemma":0.001596589,"domain_scores_codex":[0.998896,0.00003831409,0.0004618883,0.0003373478,0.00003760435,0.0002288541],"domain_scores_gemma":[0.9992821,0.0001800891,0.0001889364,0.0002932761,0.00002371294,0.00003184499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009263502,0.001278403,0.1148651,0.0005584454,0.0008542997,0.00002877276,0.02293636,0.02550767,0.003915969,0.6828507,0.1032237,0.04305428],"study_design_scores_gemma":[0.006344333,0.001431415,0.06288309,0.00009141368,0.0001338819,0.00007782211,0.001420519,0.1295276,0.004788051,0.05751221,0.7344514,0.001338265],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7382389,0.00157706,0.2320422,0.003504192,0.001475581,0.001323774,0.00008532829,0.0000730437,0.02167998],"genre_scores_gemma":[0.9966243,0.0000123722,0.001748356,0.0003372529,0.0003189146,0.0001749439,0.00005580574,0.00001621498,0.000711831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6312277,"threshold_uncertainty_score":0.7588791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02241506610686994,"score_gpt":0.2781211586864497,"score_spread":0.2557060925795797,"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."}}