{"id":"W6929187279","doi":"10.48322/x5x8-yz98","title":"Fort Simpson (FSIM) 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":"University of Alberta","funders":"","keywords":"Longitude; Latitude; Field (mathematics); Magnetic field; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science"],"category_scores_codex":[0.002906729,0.001732274,0.001775598,0.0002368456,0.0004890678,0.000683521,0.01592156,0.0008808918,0.0005879105],"category_scores_gemma":[0.003831647,0.001881181,0.0002625738,0.001752916,0.0005089343,0.002031764,0.01403519,0.003161789,0.2310304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004648248,"about_ca_system_score_gemma":0.001441751,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03871324,"about_ca_topic_score_gemma":0.02404698,"domain_scores_codex":[0.9886659,0.0007922585,0.001086781,0.005239992,0.002407109,0.001808],"domain_scores_gemma":[0.9547381,0.001774712,0.0007660207,0.04190297,0.0002618024,0.0005564268],"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":[0.0002451825,0.0006808176,0.00009622471,0.001303672,0.0002319708,0.00009073177,0.00001132462,0.00005217569,0.00006119703,0.000005901777,0.9951006,0.002120203],"study_design_scores_gemma":[0.001010348,0.0002936954,0.0003099235,0.0001678527,0.0009110199,0.00000244741,0.00005218706,0.005650114,0.00005925988,0.0002698729,0.9894909,0.001782343],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001249582,0.000245285,0.0007655084,0.0006658806,0.001667923,0.001827632,0.9937876,0.0008838284,0.00003141077],"genre_scores_gemma":[0.0001766451,0.0001134525,0.0003259648,0.0003123878,0.001006509,0.0001081308,0.9975379,0.0002317224,0.0001872795],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2304425,"threshold_uncertainty_score":0.9995424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1167495930389093,"score_gpt":0.3382889304457166,"score_spread":0.2215393374068073,"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."}}