{"id":"W2593231895","doi":"10.1111/maps.12856","title":"Meteor shower detection with density‐based clustering","year":2017,"lang":"en","type":"article","venue":"Meteoritics and Planetary Science","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Aeronautics and Space Administration","keywords":"Meteor (satellite); Meteor shower; Cluster analysis; Sky; DBSCAN; Cluster (spacecraft); Computer science; Metric (unit); Algorithm; Remote sensing; Physics; Artificial intelligence; Meteorology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001577134,0.0006608,0.0009051196,0.005133758,0.0007238522,0.001507657,0.001901296,0.0008153512,0.001177009],"category_scores_gemma":[0.007672015,0.0004307708,0.0007154816,0.00336967,0.0004893643,0.001117498,0.001215176,0.0007345774,0.0007282672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001256219,"about_ca_system_score_gemma":0.0009572753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01524559,"about_ca_topic_score_gemma":0.01228237,"domain_scores_codex":[0.997389,0.0004165107,0.0001475948,0.0005194134,0.001370152,0.0001573729],"domain_scores_gemma":[0.9954288,0.001072147,0.0005826536,0.0006924724,0.002079998,0.0001440148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006994329,0.0003007291,0.0654531,0.0003087251,0.0005951441,0.0003326213,0.0003725665,0.3130214,0.02495643,0.007452962,0.01435049,0.5721564],"study_design_scores_gemma":[0.00001620721,0.00002341579,0.009338946,0.000009817699,0.00002413018,0.0001323297,0.00005509855,0.9769662,0.008896361,0.001831168,0.00266736,0.00003895731],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1074949,0.000485323,0.8822809,0.0002269025,0.0001025029,0.0002047457,0.0009634887,0.005004357,0.003236871],"genre_scores_gemma":[0.5495207,0.0001863326,0.4451073,0.00007365862,0.0001026689,0.0001135279,0.00258802,0.0002320934,0.002075741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01524559,"threshold_uncertainty_score":0.03031367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01003380986701682,"score_gpt":0.2165440203628801,"score_spread":0.2065102104958633,"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."}}