{"id":"W2150487061","doi":"10.3997/1873-0604.2008032","title":"A least‐squares standard deviation method to interpret magnetic anomalies due to thin dikes","year":2008,"lang":"en","type":"article","venue":"Near Surface Geophysics","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geology; Standard deviation; Position (finance); Horizontal position representation; Geodesy; Dike; Economic geology; Horizontal and vertical; Magnetic dip; Geophysics; Geometry; Mathematics; Seismology; Statistics; Petrology; Volcanism; Tectonics","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":[0.00135763,0.0007949655,0.0005520781,0.001625067,0.0003649086,0.0007107923,0.0009656952,0.000411674,0.001749034],"category_scores_gemma":[0.00460505,0.0005440745,0.0005526522,0.00128814,0.0003913297,0.0006238266,0.0006848903,0.001004523,0.0007658355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000371016,"about_ca_system_score_gemma":0.0009858214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003801073,"about_ca_topic_score_gemma":0.003600694,"domain_scores_codex":[0.9994248,0.0001368057,0.00003830088,0.0001274774,0.0002383145,0.0000344281],"domain_scores_gemma":[0.9981781,0.000967607,0.0001852878,0.0001632328,0.0004612558,0.00004451718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002633265,0.0001084111,0.005625836,0.0002698399,0.0003217258,0.000172271,0.0002350723,0.2784144,0.06328993,0.01213105,0.004820334,0.6343478],"study_design_scores_gemma":[0.00003724773,0.00006341535,0.00333657,0.00002051913,0.00003789554,0.0001234271,0.00004580797,0.972081,0.01143573,0.007410493,0.005352065,0.00005585844],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00844977,0.0001023579,0.9901661,0.00003821903,0.00002583574,0.00001683381,0.00007438993,0.0007998255,0.0003266219],"genre_scores_gemma":[0.1295121,0.0001957207,0.8671284,0.00005731871,0.00006278728,0.0001350028,0.000436243,0.0005595609,0.001912861],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003801073,"threshold_uncertainty_score":0.007557929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0140972937426543,"score_gpt":0.2499249389183599,"score_spread":0.2358276451757056,"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."}}