{"id":"W3082708683","doi":"10.3390/atmos11090918","title":"Seasonal Variability of Lightning Activity in Yakutia in 2009–2019","year":2020,"lang":"en","type":"article","venue":"Atmosphere","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Siberian Branch, Russian Academy of Sciences","keywords":"Lightning (connector); Thunderstorm; Latitude; Longitude; Meteorology; Environmental science; Low latitude; Climatology; Range (aeronautics); Lightning detection; RADIUS; Atmospheric sciences; Geography; Geology; Geodesy; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001762268,0.0001138834,0.0002327191,0.000002430703,0.00001958006,0.00001075604,0.0001357435,0.00003494222,0.0005820156],"category_scores_gemma":[0.00001483959,0.0001110602,0.00004879975,0.000311186,0.00002692663,0.0000932287,0.00005410698,0.0002182371,0.00002200564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002593324,"about_ca_system_score_gemma":0.00008907071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008368883,"about_ca_topic_score_gemma":0.00001784152,"domain_scores_codex":[0.9991221,0.00008398826,0.0001847008,0.0002490652,0.0001074483,0.0002527117],"domain_scores_gemma":[0.9996156,0.00007875917,0.00006714813,0.0001480396,0.00001757034,0.00007284636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005839926,0.0002262053,0.9731207,0.00002874321,0.00001989269,0.000002038881,0.0009470227,0.0004900435,0.006906934,0.004803558,0.0006263956,0.01277004],"study_design_scores_gemma":[0.002023688,0.0003112762,0.956911,0.000084333,0.0000194259,3.611418e-7,0.0002904383,0.02068752,0.00898899,0.008172611,0.002074882,0.0004355035],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975285,0.00005219965,0.0004355266,0.0005201879,0.00003082476,0.0001000625,0.00001157061,0.00001381794,0.02355081],"genre_scores_gemma":[0.9990757,8.578669e-7,0.0006548679,0.00004355922,0.00009083305,0.000007655058,0.000004898766,0.000009477843,0.0001121799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02379067,"threshold_uncertainty_score":0.6372663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00648010973535375,"score_gpt":0.2088957714772238,"score_spread":0.20241566174187,"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."}}