{"id":"W4401691321","doi":"10.31857/s0002333724040071","title":"An approach to interpreting natural indicators of the state of space weather to assess the effects of its impact on high-latitude power systems","year":2024,"lang":"en","type":"article","venue":"Физика земли","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural (archaeology); Space weather; Space (punctuation); Latitude; Power (physics); State (computer science); Environmental science; Meteorology; Climatology; Computer science; Geography; Geology; Physics; Geodesy","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":[0.004946035,0.0008160912,0.0005615422,0.004656537,0.0008511648,0.004603815,0.001146407,0.001097314,0.00142153],"category_scores_gemma":[0.01116408,0.0002678278,0.0008195521,0.002321031,0.001847836,0.001787079,0.001537756,0.001098394,0.0002664347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001237339,"about_ca_system_score_gemma":0.001737279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003854569,"about_ca_topic_score_gemma":0.00361584,"domain_scores_codex":[0.9965983,0.001819843,0.0003434581,0.0005007159,0.0006249463,0.0001127952],"domain_scores_gemma":[0.9888675,0.005809671,0.002325908,0.001025005,0.001724491,0.0002474842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000476243,0.0005624335,0.3378946,0.0009838516,0.0009955277,0.001725476,0.007278597,0.09595376,0.02160342,0.2260739,0.005721768,0.3007305],"study_design_scores_gemma":[0.00008700876,0.001468518,0.2366158,0.0005198898,0.0006228266,0.003466279,0.01352124,0.298787,0.01338693,0.3570942,0.07407956,0.0003507822],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09428722,0.001616229,0.8830304,0.001743876,0.0002448811,0.000441803,0.001145795,0.0005954895,0.01689433],"genre_scores_gemma":[0.7610677,0.0006441623,0.2359489,0.0002561327,0.0001761003,0.0002780853,0.0003526408,0.00003202239,0.001244355],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004946035,"threshold_uncertainty_score":0.02615744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00956208994369059,"score_gpt":0.3047444066655789,"score_spread":0.2951823167218884,"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."}}