{"id":"W6891643471","doi":"10.48322/dctt-r668","title":"Yellowknife (YKNF) Ground-based Vector Magnetic Field (L2) 0.5 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":"","funders":"","keywords":"Longitude; Latitude; Magnetic field; Field (mathematics); Earth's magnetic field; Magnetometer","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":[],"consensus_categories":[],"category_scores_codex":[0.000723619,0.001947624,0.001123648,0.002645784,0.001017652,0.001931826,0.003118773,0.002165218,0.09675667],"category_scores_gemma":[0.00464037,0.0008595461,0.0009282226,0.0064081,0.0004499367,0.001772567,0.001977553,0.001733406,0.1437845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001479765,"about_ca_system_score_gemma":0.002930313,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0837738,"about_ca_topic_score_gemma":0.1322601,"domain_scores_codex":[0.9992089,0.00007728668,0.00007494548,0.0002507592,0.0002267772,0.000161421],"domain_scores_gemma":[0.9977239,0.000322994,0.0002250535,0.0005899831,0.0009297825,0.0002084194],"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":[0.00003059103,0.000008726836,0.0006221706,0.0002051871,0.00001075762,0.00001295875,0.00001837186,0.0002742595,0.00007047578,0.000202652,0.9973308,0.001212928],"study_design_scores_gemma":[0.0001550308,0.000009302852,0.004105124,0.0001765217,0.00001507787,0.00002534021,0.00009293146,0.0004847831,0.0003572651,0.000942085,0.9936055,0.00003104958],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005314704,0.00001040672,0.00003832227,0.00001752005,0.00001005931,0.000003018469,0.999267,0.0002169368,0.0003835286],"genre_scores_gemma":[0.0002156492,0.00001361666,0.000211952,0.00001454248,0.000002934759,0.00002642152,0.9988951,0.00009953242,0.0005203002],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9162262,"threshold_uncertainty_score":0.3236833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1185506074649648,"score_gpt":0.3322289088035673,"score_spread":0.2136783013386025,"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."}}