{"id":"W4231518602","doi":"10.52002/0130-2906-2021-3-102-110","title":"Methods for Monitoring Strong Space Weather Disturbances to Support International Air Navigation","year":2021,"lang":"en","type":"article","venue":"Meteorologiya i Gidrologiya","topic":"Space exploration and regulation","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Space weather; Meteorology; Geography; Space (punctuation); Center (category theory); Regional science; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005375863,0.0002127551,0.0002629475,0.00008131839,0.0001762009,0.00007823933,0.0002337829,0.0001014596,0.0004673435],"category_scores_gemma":[0.0001013496,0.0001889404,0.000172497,0.0002260082,0.00004738436,0.0002732167,0.0001059238,0.0001449525,0.00005511454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000570413,"about_ca_system_score_gemma":0.00006285783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001639497,"about_ca_topic_score_gemma":0.000002848503,"domain_scores_codex":[0.9985418,0.0001773444,0.0002966347,0.000479197,0.000169727,0.0003353023],"domain_scores_gemma":[0.9989814,0.0002243943,0.0001553969,0.0002814943,0.0002530994,0.0001041776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003697234,0.0004776546,0.3167486,0.00003181749,0.000695296,0.00001073023,0.001776497,0.01719999,0.1535216,0.08339702,0.007304337,0.4184668],"study_design_scores_gemma":[0.002865665,0.000910204,0.07560961,0.00006307427,0.0001854397,0.00001002573,0.004180463,0.008064552,0.563316,0.03545447,0.3081422,0.001198249],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2170741,0.00008259216,0.7677962,0.006560921,0.002394026,0.0005007639,0.000047311,0.0001469639,0.005397195],"genre_scores_gemma":[0.8533432,0.00000247966,0.1418978,0.0001489723,0.0009530632,0.0002859597,0.0002806653,0.00002370764,0.003064108],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6362692,"threshold_uncertainty_score":0.7704763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0350435593177523,"score_gpt":0.3701078371494361,"score_spread":0.3350642778316838,"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."}}