{"id":"W4353100358","doi":"10.18280/ts.400118","title":"Estimation of Low Rotation Frequency Based on Doppler Shift Observations","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Doppler frequency; Doppler effect; Rotation (mathematics); Estimation; Geodesy; Remote sensing; Computer science; Geology; Physics; Artificial intelligence; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0001719823,0.0006282931,0.000406085,0.001057797,0.000213252,0.0003693864,0.0002476483,0.0003283914,0.0006516153],"category_scores_gemma":[0.0008487586,0.0001610105,0.0001665616,0.0006693166,0.0002432437,0.000529433,0.000290858,0.0003726368,0.0004208981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001422104,"about_ca_system_score_gemma":0.0002353877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001105183,"about_ca_topic_score_gemma":0.001475926,"domain_scores_codex":[0.9997272,0.00003172734,0.00001057982,0.00007977302,0.0001223454,0.0000283119],"domain_scores_gemma":[0.9997173,0.00007456381,0.00006419954,0.00003490679,0.00009511342,0.00001389876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003315225,0.00005986994,0.0185449,0.0002346078,0.00005495179,0.0001892373,0.0002194593,0.02350606,0.3496367,0.001459204,0.001236033,0.6045275],"study_design_scores_gemma":[0.00009058883,0.0004465351,0.08663188,0.00007962882,0.0001324439,0.0009988038,0.0002720628,0.5794137,0.3198618,0.002153367,0.009761622,0.0001576644],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2218386,0.0005954604,0.7739264,0.00007882594,0.00009085486,0.00004566718,0.0001658158,0.0009594836,0.002298821],"genre_scores_gemma":[0.8486855,0.0004978562,0.149037,0.00003476092,0.00006214304,0.0000396217,0.0002481489,0.00006721053,0.001327799],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001105183,"threshold_uncertainty_score":0.002197504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02025532940762358,"score_gpt":0.2281370128432051,"score_spread":0.2078816834355815,"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."}}