{"id":"W4220965171","doi":"10.5194/egusphere-egu22-168","title":"Iron deposit effect observed in Kiruna geomagnetic fluctuations: Indications for an improved approach of magnetotellurics searching methods","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earth's magnetic field; Anomaly (physics); Magnetometer; Magnetotellurics; Geodesy; Standard deviation; Magnetic anomaly; Conductance; Geology; Geophysics; Physics; Analytical Chemistry (journal); Chemistry; Magnetic field; Mathematics; Condensed matter physics; Electrical resistivity and conductivity; Statistics","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":[0.0007895763,0.0002473769,0.0002606853,0.00107762,0.0002558971,0.0006211115,0.0005029613,0.0002667888,0.0006544736],"category_scores_gemma":[0.00276859,0.0001297755,0.0001956808,0.001231673,0.0002288702,0.0003249835,0.0004067886,0.0002427614,0.0003137429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002392633,"about_ca_system_score_gemma":0.0002921071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007305443,"about_ca_topic_score_gemma":0.01501471,"domain_scores_codex":[0.9995636,0.00008290102,0.00004537644,0.000135098,0.0001155143,0.00005749839],"domain_scores_gemma":[0.9992564,0.0001966404,0.000130928,0.0001305107,0.000230495,0.00005499157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004755152,0.0001045528,0.8127168,0.0002152545,0.0002682665,0.0004494804,0.001183266,0.007526184,0.08088988,0.001217673,0.001826775,0.09312643],"study_design_scores_gemma":[0.00001191806,0.00004368385,0.974117,0.00001405703,0.00003552421,0.000175783,0.0001811937,0.01887996,0.004711777,0.000152453,0.001660262,0.00001644082],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859439,0.0002475919,0.009640721,0.00008791422,0.00004028124,0.00001772075,0.0003520857,0.0002507822,0.003418974],"genre_scores_gemma":[0.9943739,0.00004347404,0.004779086,0.00001739659,0.00001009223,0.000008923726,0.0003656414,0.00005209497,0.0003493947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007305443,"threshold_uncertainty_score":0.01452583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05122377653614366,"score_gpt":0.3292035139412465,"score_spread":0.2779797374051028,"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."}}