{"id":"W2725492206","doi":"","title":"Satelite orbit of detecting Ionospheric Earthquake Precursor","year":2014,"lang":"en","type":"article","venue":"Japan Geoscience Union","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Digital Payment Technologies (Canada)","funders":"","keywords":"Ionosphere; Seismology; Geology; Foreshock; Geophysics; Geodesy; Aftershock","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009419393,0.0002037102,0.0001269641,0.0008283191,0.0004949723,0.0004383271,0.0001449171,0.0001976234,0.002339725],"category_scores_gemma":[0.0004453175,0.00007762155,0.0001000755,0.0003608849,0.0001049581,0.0002245709,0.0004452328,0.0002414631,0.0004396956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001945093,"about_ca_system_score_gemma":0.0007009415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005285364,"about_ca_topic_score_gemma":0.01659552,"domain_scores_codex":[0.9999219,0.000009344856,0.000003145252,0.00001991897,0.00002303035,0.0000227408],"domain_scores_gemma":[0.9998239,0.00001353698,0.00002045145,0.00001868593,0.00008880404,0.00003462469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005166083,0.0001833788,0.5634331,0.0003265868,0.0002187794,0.001079889,0.0009589863,0.01663451,0.2173091,0.01012163,0.0235343,0.1610337],"study_design_scores_gemma":[0.000245323,0.001144401,0.7991909,0.0001288795,0.0001619241,0.001106782,0.001340794,0.09110649,0.07209712,0.001449354,0.03197058,0.00005745879],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727921,0.0001711604,0.00300018,0.0001400513,0.0001725251,0.00003536567,0.002713921,0.0001783443,0.02079628],"genre_scores_gemma":[0.9898183,0.00005503265,0.004309589,0.00002511086,0.00002085154,0.00001346676,0.002532281,0.00002121062,0.003204192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005285364,"threshold_uncertainty_score":0.01050919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004706307564040413,"score_gpt":0.180699177354383,"score_spread":0.1759928697903426,"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."}}