{"id":"W4391352626","doi":"10.1029/2023sw003607","title":"Assessment of Space Weather Impacts on New Zealand Power Transformers Using Dissolved Gas Analysis","year":2024,"lang":"en","type":"article","venue":"Space Weather","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Business, Innovation and Employment; University of Canterbury","keywords":"Space weather; Transformer; Environmental science; Dissolved gas analysis; Meteorology; Space (punctuation); Climatology; Atmospheric sciences; Electrical engineering; Engineering; Computer science; Geography; Geology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001299484,0.0002977581,0.0004030762,0.0001022192,0.00005431739,0.0000952811,0.0001245073,0.00007660667,0.005870318],"category_scores_gemma":[0.000001470763,0.0002403435,0.0004677543,0.0006380734,0.00004213244,0.0001485268,0.00002086588,0.0002127689,0.00003622182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007654283,"about_ca_system_score_gemma":0.0002212948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0026226,"about_ca_topic_score_gemma":0.0002095009,"domain_scores_codex":[0.9987038,0.00003668497,0.0002369311,0.0003616351,0.0002627882,0.0003981961],"domain_scores_gemma":[0.9993588,0.00005127278,0.00008429313,0.000304452,0.00003522424,0.0001660101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003810211,0.001853662,0.5120797,0.0002436801,0.02130557,0.00006854434,0.01488533,0.04561561,0.1004534,0.2321435,0.02790189,0.04306813],"study_design_scores_gemma":[0.009854505,0.003830749,0.2284175,0.001957113,0.01741785,0.0000113221,0.01857936,0.3566454,0.01779947,0.02559868,0.3130048,0.006883312],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8427253,0.0001984099,0.06181166,0.001010167,0.0003161046,0.0003314078,0.00008051747,0.00007112441,0.09345529],"genre_scores_gemma":[0.9696773,0.00001198649,0.001960463,0.00002715969,0.0001540072,0.000004518361,0.00002953481,0.00006115087,0.02807384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3110298,"threshold_uncertainty_score":0.9950384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006811510153404664,"score_gpt":0.2674343421877632,"score_spread":0.2606228320343586,"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."}}