{"id":"W2981322751","doi":"10.4095/299116","title":"Geoelectric field modelling for canadian space weather services","year":2016,"lang":"en","type":"report","venue":"","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Field (mathematics); Space (punctuation); Geology; Geography; Meteorology; Computer science; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001334947,0.001906444,0.0009374146,0.001640608,0.00259926,0.002017853,0.003229264,0.0007797193,0.02993126],"category_scores_gemma":[0.004466,0.0009190254,0.001171773,0.003952421,0.0004465918,0.002681685,0.001014681,0.001759915,0.0113484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01903721,"about_ca_system_score_gemma":0.04657674,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9884975,"about_ca_topic_score_gemma":0.9876136,"domain_scores_codex":[0.9985863,0.00009666655,0.00003987332,0.0001336608,0.0009031559,0.0002403341],"domain_scores_gemma":[0.9962773,0.0001440144,0.00008023869,0.0003540324,0.002951704,0.0001927067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001647396,0.00007426363,0.008386819,0.0001341411,0.00007422222,0.00005726447,0.0001512884,0.1454223,0.001135158,0.01329079,0.7856637,0.04544533],"study_design_scores_gemma":[0.0001658882,0.00002132016,0.01372883,0.0001454767,0.00009362433,0.00004600831,0.0002872524,0.3792785,0.005543166,0.007463575,0.5930718,0.0001545434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0248703,0.0009063028,0.06406723,0.004839738,0.001315343,0.0005104044,0.6939346,0.01695208,0.1926039],"genre_scores_gemma":[0.1567746,0.002414252,0.07592316,0.0004815638,0.0001861255,0.0004795654,0.542017,0.005134093,0.2165896],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02993126,"threshold_uncertainty_score":0.1381252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03314043433743799,"score_gpt":0.228084932614507,"score_spread":0.1949444982770691,"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."}}