{"id":"W2616598153","doi":"","title":"The Use of D-Criteria to Assess Meteor Shower Significance","year":2017,"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":true,"ca_institutions":"","funders":"","keywords":"Meteoroid; Meteor shower; Meteor (satellite); Sky; Orbit determination; Similarity (geometry); Physics; Shower; Cutoff; Set (abstract data type); Astrophysics; Geodesy; Geology; Astronomy; Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002113306,0.0001182936,0.0001196951,0.00002067511,0.001012188,0.0005515547,0.0002557767,0.00002864758,0.00003749133],"category_scores_gemma":[0.0000676701,0.00009204025,0.00003880301,0.00003977748,0.000202571,0.0003702817,0.00005275111,0.00008866407,0.000004880043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001253409,"about_ca_system_score_gemma":0.0002430631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007799517,"about_ca_topic_score_gemma":0.00003781595,"domain_scores_codex":[0.9989718,0.0000384742,0.0002335107,0.0002222546,0.0003802398,0.0001536734],"domain_scores_gemma":[0.9988425,0.0002804537,0.0002287361,0.0002845763,0.0002478415,0.0001158442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002721707,0.0002740229,0.4804651,0.00002649736,0.0002053923,0.00001207319,0.0002917777,0.00125329,0.05336402,0.4471444,0.009054914,0.007636338],"study_design_scores_gemma":[0.0002060815,0.0002083967,0.9269535,0.00002100222,0.00002672563,0.000006443356,0.00009326249,0.003845637,0.005677341,0.0008556888,0.0618872,0.0002187537],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9741732,0.0000285939,0.01089625,0.00319552,0.0006603854,0.0003491442,0.0002292471,0.00001335068,0.01045426],"genre_scores_gemma":[0.9905865,0.000001814691,0.005294378,0.00004377705,0.0001678702,0.00001324833,0.00002941358,0.000005266342,0.003857712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4464884,"threshold_uncertainty_score":0.7785035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07004976067499907,"score_gpt":0.3103795119553127,"score_spread":0.2403297512803136,"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."}}