{"id":"W3093518996","doi":"","title":"Searching for dormant comets in the NEO region using data from the Canadian Meteor Orbit Radar","year":2015,"lang":"en","type":"article","venue":"AAS/Division for Planetary Sciences Meeting Abstracts #47","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Meteor (satellite); Orbit (dynamics); Orbit determination; Radar; Remote sensing; Geology; Astrobiology; Meteorology; Meteoroid; Astronomy; Geodesy; Geography; Computer science; Physics; Satellite; Telecommunications; Engineering; Aerospace engineering","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":[0.0006606256,0.0002947561,0.0003746329,0.002491775,0.001266295,0.00082118,0.0009004351,0.000371743,0.001291337],"category_scores_gemma":[0.001548527,0.0002059937,0.0002862443,0.00230692,0.0004048825,0.0004109958,0.0006085415,0.0003257493,0.0002719367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004902167,"about_ca_system_score_gemma":0.005611417,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9556454,"about_ca_topic_score_gemma":0.98497,"domain_scores_codex":[0.999629,0.00001752311,0.00001157302,0.00006647745,0.0001199733,0.0001553731],"domain_scores_gemma":[0.9985811,0.0001061986,0.0001903455,0.00007214546,0.0006954481,0.0003548582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001319815,0.00003205592,0.978933,0.00004372425,0.00007745849,0.0001942929,0.000551722,0.0005889021,0.005474222,0.0002175257,0.003048076,0.01070703],"study_design_scores_gemma":[0.000009057369,0.000009561691,0.9957414,0.00001465528,0.00003110136,0.00004427631,0.0005520593,0.0008381771,0.0002824113,0.00002711517,0.002442429,0.000007853008],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892754,0.0004926749,0.0002901694,0.0002174699,0.00001565977,0.00005259867,0.004311254,0.00002665263,0.005318071],"genre_scores_gemma":[0.9937576,0.0002490214,0.0006985388,0.00005031446,0.000009452897,0.00001038187,0.00407411,0.0000089866,0.001141628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9556454,"threshold_uncertainty_score":0.08923149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2386633035056979,"score_gpt":0.3371954953621303,"score_spread":0.09853219185643233,"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."}}