{"id":"W2749535892","doi":"10.1002/2017ja024398","title":"The Empirical Canadian High Arctic Ionospheric Model (E‐CHAIM): <i>N</i><sub><i>m</i></sub><i>F</i><sub>2</sub> and <i>h</i><sub><i>m</i></sub><i>F</i><sub>2</sub>","year":2017,"lang":"en","type":"article","venue":"Journal of Geophysical Research Space Physics","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Air Force Office of Scientific Research; Natural Sciences and Engineering Research Council of Canada; New Brunswick Innovation Foundation","keywords":"Ionosonde; Ionosphere; QUIET; International Reference Ionosphere; Radio occultation; Equinox; Ionogram; Physics; Atmospheric sciences; Meteorology; Geodesy; Electron density; Geology; Total electron content; Geophysics; TEC; Electron; Astronomy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002601748,0.0005463173,0.0002041095,0.0003294117,0.0005022048,0.0006120075,0.001505567,0.0003614891,0.001975027],"category_scores_gemma":[0.000853168,0.0001582291,0.000327118,0.0008958525,0.0002849276,0.0003235432,0.0002516674,0.0003625026,0.0004031367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004260089,"about_ca_system_score_gemma":0.006917685,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9198374,"about_ca_topic_score_gemma":0.9120829,"domain_scores_codex":[0.999872,0.00001810429,0.000003949342,0.00003282415,0.00003426188,0.00003892014],"domain_scores_gemma":[0.9997177,0.00003633764,0.00002391856,0.00002045765,0.0001793526,0.00002224519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001142855,0.00003098079,0.03535502,0.0000471069,0.00008092331,0.00004108126,0.00005250957,0.9457378,0.0009749786,0.001693691,0.005304849,0.01056681],"study_design_scores_gemma":[0.00007304094,0.00003615272,0.03712386,0.00001941722,0.00005525158,0.00003740841,0.0001416596,0.9540102,0.001038451,0.0006397588,0.006785468,0.0000394303],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9244533,0.0003698775,0.02157089,0.0006438554,0.00005532705,0.00006144463,0.01539782,0.001162105,0.03628551],"genre_scores_gemma":[0.9851657,0.0001934754,0.004510769,0.00006713346,0.00000853122,0.00002998471,0.006211782,0.00007794445,0.003734678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08016258,"threshold_uncertainty_score":0.1612693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03191045972468691,"score_gpt":0.2922714690865559,"score_spread":0.260361009361869,"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."}}