{"id":"W3001955795","doi":"","title":"The Canadian Meteor Orbit Radar (CMOR): Early Results","year":2003,"lang":"en","type":"article","venue":"DPS","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Meteor (satellite); Orbit (dynamics); Radar; Remote sensing; Meteorology; Astrobiology; Geology; Computer science; Geography; Telecommunications; Physics; Aerospace engineering; 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":[0.008218993,0.00290965,0.001023203,0.003251105,0.001845118,0.003620889,0.002193031,0.001250928,0.007992973],"category_scores_gemma":[0.00815351,0.0005686439,0.0005870098,0.003321577,0.002799796,0.001975421,0.002159046,0.001801015,0.001852143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02020044,"about_ca_system_score_gemma":0.02952585,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8574327,"about_ca_topic_score_gemma":0.8928871,"domain_scores_codex":[0.994864,0.0004115149,0.00008264513,0.0004781638,0.003250656,0.0009129415],"domain_scores_gemma":[0.988616,0.0009953217,0.0002734528,0.0005337665,0.008475142,0.001106372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002847454,0.0009510082,0.08512427,0.001678729,0.0007217065,0.0002471983,0.001261149,0.01326927,0.02009312,0.02822676,0.1646907,0.6808887],"study_design_scores_gemma":[0.0005008079,0.0007093943,0.1222226,0.0011397,0.0011073,0.0001798016,0.001541936,0.01002693,0.04780916,0.005707525,0.8087601,0.0002947915],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2526941,0.1023026,0.06134976,0.02604511,0.004042051,0.002887787,0.05909476,0.003084557,0.4884993],"genre_scores_gemma":[0.7297598,0.03435549,0.09087434,0.008336871,0.001153576,0.0005741488,0.03807947,0.0009244436,0.09594195],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1425673,"threshold_uncertainty_score":0.2868137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01400655355614789,"score_gpt":0.2034010277287157,"score_spread":0.1893944741725678,"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."}}