{"id":"W2151884334","doi":"10.1139/p07-038","title":"Height-dependent meteor temperatures and comparisons with lidar and OH measurements","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Physics","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Meteor (satellite); Lidar; Altitude (triangle); Sky; Remote sensing; Physics; Radar; Meteorology; Rayleigh scattering; Atmospheric sciences; Environmental science; Optics; Geology; Geometry; Aerospace engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0004613558,0.0001685066,0.0001931299,0.0009979064,0.0002645716,0.0004900526,0.0003593502,0.0002300902,0.0008450864],"category_scores_gemma":[0.001414801,0.0002097053,0.0001804499,0.001329879,0.0001987106,0.0004811922,0.0004241811,0.0003241137,0.0002909304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003993733,"about_ca_system_score_gemma":0.0002356206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01050105,"about_ca_topic_score_gemma":0.02018047,"domain_scores_codex":[0.999574,0.00007488718,0.00002169967,0.00008412753,0.0002055931,0.00003971126],"domain_scores_gemma":[0.9995748,0.0000768158,0.000109424,0.00007908833,0.000133123,0.0000267959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001092862,0.0001294928,0.608594,0.000412728,0.0002411971,0.0005986654,0.001278464,0.02026271,0.2075393,0.002911205,0.002426121,0.1545132],"study_design_scores_gemma":[0.00009858703,0.0001912352,0.8978319,0.00003691722,0.00008462023,0.0004489202,0.0005901116,0.03950166,0.05092138,0.0009133309,0.009295471,0.0000858423],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9663576,0.000819726,0.02004407,0.00005746917,0.00006390912,0.00006332603,0.002231136,0.0004427369,0.009920009],"genre_scores_gemma":[0.98428,0.0002243592,0.01327225,0.00001453755,0.00002707092,0.00002313276,0.001093731,0.00007424761,0.0009906255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01050105,"threshold_uncertainty_score":0.02087986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01186117185068582,"score_gpt":0.2132584921966339,"score_spread":0.2013973203459481,"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."}}