{"id":"W6891786687","doi":"10.48322/3y2q-2228","title":"Akulivik (AKUL) Ground-based Vector Magnetic Field (L2) 0.5 s Data","year":2023,"lang":"en","type":"dataset","venue":"Space Physics Data Facility","topic":"Advanced Fiber Laser Technologies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Magnetic field; Field (mathematics); Longitude; Latitude; Earth's 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":[],"consensus_categories":[],"category_scores_codex":[0.000844873,0.002245233,0.001338243,0.002944439,0.0009319742,0.002704577,0.00309837,0.002186728,0.06777586],"category_scores_gemma":[0.004463403,0.0007902074,0.001167043,0.00584514,0.0004743867,0.002066092,0.002102987,0.00191605,0.1451171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001421061,"about_ca_system_score_gemma":0.002820173,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06097979,"about_ca_topic_score_gemma":0.07950605,"domain_scores_codex":[0.9990593,0.00009632132,0.00008714213,0.0002879957,0.0002966198,0.000172567],"domain_scores_gemma":[0.9982737,0.0002417731,0.0001557963,0.0005284897,0.000656357,0.0001438813],"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":[0.00006635368,0.00001523717,0.0005825388,0.0003503708,0.00002107932,0.00001792316,0.00002011871,0.0004381906,0.0001221612,0.0004449175,0.9960194,0.001901769],"study_design_scores_gemma":[0.0001626443,0.00001001646,0.003864138,0.000246582,0.00002106095,0.0000302828,0.00009088857,0.0006619307,0.0004466558,0.001580222,0.9928422,0.00004343329],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007724516,0.00002611385,0.00005614889,0.0000228235,0.00001661335,0.00000446412,0.998814,0.0004305415,0.0005521123],"genre_scores_gemma":[0.0002842939,0.0000225964,0.0002376851,0.00001570137,0.000003572359,0.00002479373,0.9987797,0.0001353799,0.0004962412],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9390202,"threshold_uncertainty_score":0.2267329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06270846056945562,"score_gpt":0.3106941206667146,"score_spread":0.247985660097259,"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."}}