{"id":"W6966509236","doi":"10.48322/d1rf-a974","title":"Ottawa (OTT) Ground-based Vector Magnetic Field (L2) 1.0 s Data","year":2023,"lang":"en","type":"dataset","venue":"Space Physics Data Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Longitude; Latitude; Field (mathematics); Magnetic field; Earth's magnetic field","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004687698,0.001733068,0.001224778,0.003152461,0.001567874,0.002296949,0.002569318,0.001642868,0.06194991],"category_scores_gemma":[0.003726152,0.0008366957,0.0007673011,0.009942617,0.0005452208,0.001347643,0.001417466,0.001347043,0.07435051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005724571,"about_ca_system_score_gemma":0.01024694,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7417624,"about_ca_topic_score_gemma":0.8580402,"domain_scores_codex":[0.999243,0.00005535547,0.00005956415,0.0002052802,0.0002506896,0.0001861001],"domain_scores_gemma":[0.9970572,0.0002313496,0.0001933354,0.0006338941,0.00160817,0.0002760787],"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":[0.0000391661,0.000006018167,0.0008040391,0.0002097743,0.00001372005,0.00001318872,0.00002117504,0.0002769404,0.00006614346,0.0002546399,0.9971436,0.001151622],"study_design_scores_gemma":[0.00007735643,0.000006920837,0.008781802,0.0002316477,0.00002725307,0.00002300041,0.0001428944,0.0003921071,0.0003968328,0.0005990682,0.9892776,0.00004344296],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006640743,0.00001821782,0.00002019845,0.00001674364,0.000007285784,0.000003114494,0.9991971,0.00009439099,0.0005765877],"genre_scores_gemma":[0.0004368295,0.0000287932,0.0001478841,0.00001670477,0.000002514121,0.00002286322,0.9982094,0.00005180276,0.001083209],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2582376,"threshold_uncertainty_score":0.5195168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09273833082561037,"score_gpt":0.3250234823868141,"score_spread":0.2322851515612037,"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."}}