{"id":"W4283214027","doi":"10.52912/jsta.2022.2.2.104","title":"SNIPE Mission for Space Weather Research","year":2022,"lang":"en","type":"article","venue":"Journal of Space Technology and Applications","topic":"Solar and Space Plasma Dynamics","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Korea Astronomy and Space Science Institute","keywords":"Ionosphere; Space weather; CubeSat; Earth's magnetic field; Satellite; Environmental science; Polar orbit; Solar wind; Meteorology; Physics; Geophysics; Astronomy; Plasma; Magnetic field","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001222265,0.001268862,0.0009236729,0.001291472,0.0006005813,0.001121602,0.001221413,0.0005062073,0.04974253],"category_scores_gemma":[0.001397651,0.0001690846,0.000409227,0.00168168,0.0001753773,0.001593487,0.00182009,0.001404922,0.03778191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003847649,"about_ca_system_score_gemma":0.001158059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006638314,"about_ca_topic_score_gemma":0.007221593,"domain_scores_codex":[0.9993691,0.00009464361,0.00002539129,0.0001529901,0.000286447,0.0000715639],"domain_scores_gemma":[0.9991913,0.00004916144,0.00005415769,0.0001976273,0.0003809686,0.000126773],"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":[0.0003891435,0.00008306372,0.004532984,0.0001400205,0.00007693576,0.00009809351,0.00006757762,0.001969744,0.003558317,0.004037421,0.9315873,0.05345941],"study_design_scores_gemma":[0.0003460094,0.000141386,0.008744743,0.0001109103,0.00006530929,0.0001170972,0.000108606,0.01688042,0.002961506,0.005790493,0.9646659,0.00006770914],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.02202818,0.001698206,0.05455394,0.00254109,0.002942679,0.000858875,0.6344513,0.04179916,0.2391266],"genre_scores_gemma":[0.0609476,0.0009884925,0.06214334,0.0009411559,0.000653823,0.0009052571,0.8311501,0.003999659,0.03827042],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04974253,"threshold_uncertainty_score":0.1664054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01967978539271766,"score_gpt":0.3283450153574675,"score_spread":0.3086652299647499,"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."}}