{"id":"W3183596550","doi":"10.1016/j.mex.2021.101456","title":"General resource for ionospheric transient investigations (GRITI): An open-source code developed in support of the Dinsmore et al. (2021) results","year":2021,"lang":"en","type":"article","venue":"MethodsX","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ; Centre for Diet and Activity Research; China Meteorological Administration; Pennsylvania State University; Natural Resources Canada; Massachusetts Institute of Technology; National Aeronautics and Space Administration; Chinese Academy of Sciences; National Science Foundation","keywords":"VTEC; Computer science; Algorithm; Python (programming language); Data mining","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.00242956,0.001834375,0.0009120374,0.002435423,0.0006839471,0.001931748,0.003452217,0.001314535,0.05928323],"category_scores_gemma":[0.009766014,0.00106293,0.001785421,0.002093676,0.0004329009,0.002401521,0.004045927,0.002108855,0.07363041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006959352,"about_ca_system_score_gemma":0.002832589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007304392,"about_ca_topic_score_gemma":0.008454388,"domain_scores_codex":[0.9985891,0.0001618909,0.0001780011,0.0002893715,0.0006502285,0.0001314547],"domain_scores_gemma":[0.9976456,0.0004822136,0.0001873663,0.0006263999,0.0008816385,0.0001769115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003968024,0.00009624293,0.004042906,0.001002218,0.0001775165,0.0002157875,0.0002438038,0.01178421,0.006506389,0.005253233,0.8173721,0.1529087],"study_design_scores_gemma":[0.0004035575,0.0001509387,0.008863076,0.0005166048,0.000096591,0.0004738162,0.0001392893,0.07960588,0.01307197,0.0167014,0.8797229,0.000254011],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.003171091,0.0003954545,0.3521429,0.000426807,0.0005890144,0.000822434,0.2075972,0.4206261,0.01422902],"genre_scores_gemma":[0.0170158,0.0003635365,0.380146,0.0005838411,0.0001676072,0.001743599,0.4988034,0.09146427,0.009711952],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.05928323,"threshold_uncertainty_score":0.1983222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03737678279418426,"score_gpt":0.3274383996003729,"score_spread":0.2900616168061886,"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."}}