{"id":"W6977231649","doi":"10.6084/m9.figshare.c.3698422_d7.v1","title":"MOESM2 of Relation of the auroral substorm to the substorm current wedge","year":2016,"lang":"en","type":"other","venue":"Figshare","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Substorm; Meridian (astronomy); Wedge (geometry); Sawtooth wave; Inversion (geology)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000559601,0.001043744,0.0007699603,0.001622578,0.0009024067,0.001818253,0.002068867,0.0009377487,0.6545539],"category_scores_gemma":[0.004791916,0.0004484951,0.001194344,0.002393774,0.0002097302,0.001394779,0.001346841,0.0007283654,0.1925778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006270055,"about_ca_system_score_gemma":0.001153094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02641561,"about_ca_topic_score_gemma":0.05262297,"domain_scores_codex":[0.9997099,0.00002770613,0.00002637231,0.00008952021,0.00007147479,0.0000750551],"domain_scores_gemma":[0.9982733,0.0007784801,0.0001277834,0.0002564798,0.0004432643,0.0001206858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001763106,0.00002287007,0.005101749,0.0005940447,0.00003544554,0.00008664301,0.00006058107,0.0009350759,0.0002436414,0.0005787048,0.9868416,0.005323374],"study_design_scores_gemma":[0.0008526981,0.00004198372,0.03063531,0.000626379,0.00009094882,0.0002509578,0.0002741771,0.003130446,0.001378604,0.002906103,0.9597302,0.00008217074],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.000336501,0.00001218263,0.0003078465,0.00004537122,0.00004086875,0.00001830134,0.9959919,0.001039584,0.002207458],"genre_scores_gemma":[0.009033661,0.00004794539,0.002853044,0.00008824245,0.00006211794,0.0002029267,0.9773458,0.003084056,0.007282214],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6545539,"threshold_uncertainty_score":0.4927368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02037505937885537,"score_gpt":0.2291010369687715,"score_spread":0.2087259775899161,"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."}}