{"id":"W2807392966","doi":"10.1186/s40623-018-0860-2","title":"Spatial distribution of errors associated with multistatic meteor radar","year":2018,"lang":"en","type":"article","venue":"Earth Planets and Space","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Meteor (satellite); Remote sensing; Radar; Mesopause; Computer science; Environmental science; Meteorology; Software; Geology; Geodesy; Telecommunications; Geography; Mesosphere","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005312539,0.00009832326,0.0001455552,0.000006157626,0.0000750256,0.00001559478,0.00003665504,0.00002830337,0.0003941037],"category_scores_gemma":[0.000005690111,0.00007772508,0.00001764192,0.00005634315,0.00009898013,0.00004666855,0.00001284218,0.0000620931,0.000009736469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003294423,"about_ca_system_score_gemma":0.00003018078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001807558,"about_ca_topic_score_gemma":0.001292236,"domain_scores_codex":[0.9995061,0.00002500942,0.000101864,0.0001230761,0.00009163278,0.0001523479],"domain_scores_gemma":[0.9996793,0.00003998307,0.00009652888,0.00008452884,0.00004879637,0.00005083125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001059151,0.001031609,0.7082393,0.0001275119,0.001315894,0.00004007507,0.004630665,0.0003919251,0.003500183,0.06330093,0.0160196,0.2003431],"study_design_scores_gemma":[0.004315415,0.002410638,0.9082093,0.0001523566,0.0002158304,0.000004973949,0.001042112,0.03196228,0.003287662,0.000888477,0.04671625,0.0007946991],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819224,0.00001904046,0.01443694,0.00006069522,0.00006846183,0.0001191578,0.0003216703,0.00001458453,0.003037055],"genre_scores_gemma":[0.9972136,0.000001248167,0.0008349992,0.000009731777,0.00007490761,0.00000166253,0.0006079123,0.000007416527,0.001248544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.19997,"threshold_uncertainty_score":0.4315159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004309149821360763,"score_gpt":0.1952246706078282,"score_spread":0.1909155207864674,"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."}}