{"id":"W4398750199","doi":"10.7910/dvn/pkjufn/4bpeyk","title":"FCC2002.262.ran","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Range (aeronautics); Earth's magnetic field; Meteorology; Environmental science; Atmospheric sciences; Geomagnetic latitude; Remote sensing; Geology; Physics; Materials science; Magnetic field","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008407067,0.003261565,0.001785697,0.003779298,0.001068371,0.003328119,0.003771719,0.00253909,0.1251833],"category_scores_gemma":[0.004836414,0.0008790829,0.001263588,0.007533817,0.0005799721,0.001935011,0.002393425,0.001730619,0.2078848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001656442,"about_ca_system_score_gemma":0.002215601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0398543,"about_ca_topic_score_gemma":0.05092348,"domain_scores_codex":[0.99909,0.0001329997,0.00007993823,0.0002990946,0.0001917867,0.0002062347],"domain_scores_gemma":[0.9982616,0.0003040027,0.0001408446,0.0005956791,0.000442385,0.0002554594],"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":[0.00003275227,0.000008997956,0.0002074086,0.0001821158,0.00001317927,0.000007696564,0.000008490825,0.0001631947,0.00004723606,0.0002527468,0.9983476,0.0007285019],"study_design_scores_gemma":[0.0002269547,0.00001740712,0.002039748,0.0001637577,0.00002138147,0.00003234349,0.0000553932,0.0006897317,0.0003609425,0.001391393,0.9949709,0.00002994247],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005805153,0.00003585651,0.00003229631,0.00004124844,0.00002146488,0.000004005746,0.9986243,0.0005677148,0.0006151084],"genre_scores_gemma":[0.0002753631,0.00003226124,0.0001033024,0.00003669131,0.000008849346,0.0000216897,0.9989012,0.0001197865,0.0005007237],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8748167,"threshold_uncertainty_score":0.41878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008480041429497018,"score_gpt":0.2155780340902826,"score_spread":0.2070979926607855,"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."}}