{"id":"W2192735652","doi":"","title":"Meteor Shower Forecast Improvements from an All-Sky Survey","year":2015,"lang":"en","type":"article","venue":"NASA STI Repository (National Aeronautics and Space Administration)","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Shower; Meteor shower; Meteor (satellite); Sky; Meteorology; Environmental science; Geography; Engineering; Aerospace engineering","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":[0.001487705,0.0005422618,0.0005728427,0.001178465,0.0002864766,0.0007556069,0.0005757869,0.00083925,0.002978881],"category_scores_gemma":[0.003459667,0.0003215098,0.0006952931,0.001560047,0.0001115249,0.001419513,0.000576512,0.0007313013,0.001939466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008363146,"about_ca_system_score_gemma":0.001099314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06619807,"about_ca_topic_score_gemma":0.1076711,"domain_scores_codex":[0.9995023,0.00006331164,0.00003486468,0.0001817121,0.0001381818,0.0000795946],"domain_scores_gemma":[0.9975458,0.0003761366,0.0003542111,0.0003250371,0.001120435,0.000278344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002410154,0.0003029707,0.590888,0.0003210916,0.0007703931,0.0003094387,0.0001797781,0.1778107,0.005512226,0.0009637705,0.1603103,0.06022121],"study_design_scores_gemma":[0.0002734766,0.0001420175,0.8162835,0.00006208055,0.000491318,0.00006075204,0.0001456981,0.1514666,0.003036713,0.0006491778,0.02730239,0.00008630391],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7942505,0.001206226,0.004202103,0.001992554,0.0007949126,0.00006732999,0.1779257,0.004298924,0.01526168],"genre_scores_gemma":[0.8870941,0.0002466894,0.003471605,0.0001425386,0.0002524781,0.00001971868,0.1064082,0.0002422255,0.00212233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06619807,"threshold_uncertainty_score":0.1316255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04317490591127842,"score_gpt":0.2901356816904308,"score_spread":0.2469607757791524,"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."}}