{"id":"W7051977226","doi":"","title":"Perseid Meteor Composite Over Lake Erie","year":2010,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Meteor (satellite); Meteor shower; Altitude (triangle); Monsoon","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":[0.0001235341,0.0003206377,0.0002052216,0.001048383,0.0004305355,0.0005135581,0.0002461622,0.000209503,0.01354622],"category_scores_gemma":[0.0001723045,0.0001801456,0.0001185616,0.0009796317,0.00008494297,0.0003370453,0.0006571813,0.0003698963,0.003218743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006109401,"about_ca_system_score_gemma":0.0004968146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1102369,"about_ca_topic_score_gemma":0.3113929,"domain_scores_codex":[0.9998785,0.0000037693,0.00000254225,0.0000194903,0.00007664849,0.00001906426],"domain_scores_gemma":[0.9998119,0.000005103951,0.00001387558,0.00001470539,0.0001187763,0.00003566768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001644982,0.0001537891,0.07974033,0.0006100211,0.0001747546,0.002319729,0.001125935,0.003106208,0.03964126,0.0006725787,0.6926907,0.1781197],"study_design_scores_gemma":[0.00009277998,0.00007361842,0.5949988,0.00006469018,0.00003818887,0.0004264376,0.0007655162,0.002528967,0.005036359,0.000134045,0.3957941,0.00004651911],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5764751,0.001410972,0.002929345,0.00181947,0.0005832915,0.000278118,0.1496605,0.006814785,0.2600283],"genre_scores_gemma":[0.7517626,0.001165508,0.009003771,0.0004263088,0.0002521923,0.0001121584,0.1191833,0.001602854,0.1164914],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1102369,"threshold_uncertainty_score":0.2191905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003468775063493649,"score_gpt":0.1663394323193156,"score_spread":0.1628706572558219,"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."}}