{"id":"W3000757905","doi":"","title":"CAMO—the Canadian Automated Meteor Observatory","year":2014,"lang":"en","type":"article","venue":"","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Meteor (satellite); Observatory; Remote sensing; Geology; Meteorology; Astrobiology; Geography; Astronomy; Physics","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":[0.002007732,0.001259407,0.00102568,0.002911206,0.003888265,0.00306027,0.002985648,0.0008874214,0.0329723],"category_scores_gemma":[0.005756531,0.0004895533,0.0004767958,0.004632907,0.0008983543,0.002025764,0.002077251,0.001461867,0.01576343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01567854,"about_ca_system_score_gemma":0.04666588,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9684506,"about_ca_topic_score_gemma":0.9709592,"domain_scores_codex":[0.9972714,0.0001474563,0.00005587029,0.0004038482,0.00155677,0.0005646371],"domain_scores_gemma":[0.9922187,0.0001689099,0.0002812561,0.0008230791,0.005466023,0.001041974],"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":[0.0002783643,0.000048752,0.01151319,0.00008421221,0.00005173011,0.00003373576,0.00009788268,0.001428,0.001575205,0.005170764,0.9186113,0.06110671],"study_design_scores_gemma":[0.0001948934,0.00002829635,0.04883783,0.0001003658,0.00003624698,0.00002330988,0.0002029512,0.01505048,0.002093511,0.003053178,0.9302772,0.0001018008],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.02869027,0.002497674,0.01949619,0.006454721,0.003154895,0.00121575,0.6341295,0.02602232,0.2783386],"genre_scores_gemma":[0.2633043,0.00207678,0.06096658,0.002893863,0.001452359,0.0009496642,0.515731,0.004657273,0.1479682],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0329723,"threshold_uncertainty_score":0.1137563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01441066650993168,"score_gpt":0.1988241160082123,"score_spread":0.1844134494982806,"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."}}