{"id":"W4283458170","doi":"10.1093/mnras/stac1766","title":"Computing optical meteor flux using global meteor network data","year":2022,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Western University","funders":"National Aeronautics and Space Administration","keywords":"Meteoroid; Meteor (satellite); Meteor shower; Physics; Flux (metallurgy); Astrophysics; Astronomy","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":[0.0003091201,0.0005226391,0.0002691651,0.002225189,0.0002156714,0.0007949145,0.0002877514,0.0002409627,0.001546121],"category_scores_gemma":[0.001501137,0.0001146846,0.0002878549,0.001710015,0.0001262653,0.0006934766,0.0004920827,0.0002130496,0.0003484954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007461989,"about_ca_system_score_gemma":0.0003962617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02685798,"about_ca_topic_score_gemma":0.02439874,"domain_scores_codex":[0.9998286,0.00001836429,0.00001097629,0.00006283848,0.00004981573,0.00002946096],"domain_scores_gemma":[0.999566,0.00009676748,0.00008960802,0.00007138256,0.0001338613,0.00004241908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007358299,0.00026198,0.3719581,0.0001801898,0.0002132835,0.000371905,0.0001862577,0.3694955,0.02146279,0.001617213,0.006643732,0.2268733],"study_design_scores_gemma":[0.00003097331,0.00008487379,0.1455121,0.00001727281,0.0000225701,0.00005816314,0.0002148819,0.8429495,0.006852257,0.00127093,0.002965969,0.00002042858],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9474649,0.0001577619,0.03489003,0.00008834139,0.00004541535,0.00007089162,0.01118823,0.00247577,0.003618715],"genre_scores_gemma":[0.9541472,0.0000873202,0.03374433,0.00001468803,0.00002913749,0.000034776,0.0112042,0.00008022992,0.00065811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02685798,"threshold_uncertainty_score":0.05340326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02089324277849198,"score_gpt":0.237707658142352,"score_spread":0.21681441536386,"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."}}