{"id":"W3154505973","doi":"","title":"Pushing the limits of the Empirical Canadian High Arctic Ionospheric Model (E-CHAIM) - How far can empirical models get us?","year":2018,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Ionosphere; Empirical modelling; Empirical research; Arctic; Computer science; Geology; Mathematics; Geophysics; Oceanography; Statistics; Simulation","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":[0.01721534,0.001401521,0.001556239,0.0007695162,0.001773137,0.005000612,0.005065924,0.002044337,0.005601757],"category_scores_gemma":[0.06597078,0.0005546385,0.0006396631,0.001287795,0.004040501,0.009006458,0.002702668,0.005876111,0.001090723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007429199,"about_ca_system_score_gemma":0.01731738,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6487078,"about_ca_topic_score_gemma":0.5966682,"domain_scores_codex":[0.9975718,0.001153306,0.0001110283,0.0002668861,0.0006328189,0.0002641755],"domain_scores_gemma":[0.9751344,0.01151848,0.001145192,0.003082062,0.007656979,0.001462899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009526725,0.0006387245,0.09378226,0.00157779,0.001303838,0.0002531564,0.001680216,0.351937,0.00156688,0.2527226,0.1299145,0.1636703],"study_design_scores_gemma":[0.00040494,0.0002373543,0.0430413,0.003103818,0.000440685,0.00007412903,0.004998609,0.4449438,0.001796989,0.3881584,0.1122956,0.000504413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3482595,0.03748148,0.09262683,0.4255167,0.003972962,0.0002040439,0.01514215,0.002292146,0.07450419],"genre_scores_gemma":[0.9475973,0.009461854,0.02500392,0.009503901,0.0006209973,0.0001124807,0.003766907,0.0007071697,0.003225522],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3512922,"threshold_uncertainty_score":0.706722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05803777812850523,"score_gpt":0.2574761599903784,"score_spread":0.1994383818618732,"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."}}