{"id":"W2086647582","doi":"10.1016/j.icarus.2013.04.025","title":"The Canadian Automated Meteor Observatory (CAMO): System overview","year":2013,"lang":"en","type":"article","venue":"Icarus","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":78,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"National Aeronautics and Space Administration","keywords":"Meteoroid; Meteor (satellite); Asteroid; Observatory; Remote sensing; Near-Earth object; Astronomy; Physics; Geology","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":[0.004035194,0.002106421,0.001327666,0.006612267,0.00305198,0.004338922,0.003660671,0.001352661,0.01072494],"category_scores_gemma":[0.0050748,0.001098843,0.0007276977,0.009272317,0.0008742244,0.002886525,0.002320677,0.001148343,0.01142964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01793775,"about_ca_system_score_gemma":0.04473249,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.93703,"about_ca_topic_score_gemma":0.9378573,"domain_scores_codex":[0.9976151,0.000120497,0.0001012215,0.0004028951,0.001239216,0.0005210991],"domain_scores_gemma":[0.9948857,0.0001509096,0.0001384086,0.0004098672,0.00392408,0.0004909549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006484311,0.0001679484,0.04106845,0.001093435,0.0002918867,0.0001110423,0.000564502,0.01234195,0.01371342,0.00521706,0.5919749,0.3328071],"study_design_scores_gemma":[0.0002249589,0.0001163138,0.07264144,0.0003722671,0.0003299406,0.0001530296,0.0003697655,0.05036084,0.01086186,0.002953604,0.8612576,0.0003584926],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.04643558,0.01506537,0.1590348,0.005024543,0.0009827224,0.008598677,0.4594051,0.1706732,0.13478],"genre_scores_gemma":[0.1895631,0.009566535,0.338015,0.001896861,0.0008421883,0.002836684,0.4051362,0.00959485,0.04254859],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.06297004,"threshold_uncertainty_score":0.1301481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0154760117902131,"score_gpt":0.2119492615898595,"score_spread":0.1964732497996464,"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."}}