{"id":"W6955544941","doi":"10.5880/intermagnet.1991.2017","title":"Intermagnet Reference Data Set (IRDS) 2017 – Definitive Magnetic Observatory Data","year":2021,"lang":"en","type":"dataset","venue":"GFZ Data Services","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Observatory; Data set; Data archive; Data quality; Digital data; Reference data; Set (abstract data type)","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","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.003476559,0.002361716,0.002386151,0.0005966935,0.0005604908,0.002393644,0.1041896,0.001383434,0.00827322],"category_scores_gemma":[0.001155771,0.002474645,0.00008844943,0.001388991,0.0006349001,0.01126042,0.1793018,0.003274269,0.04174311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001921938,"about_ca_system_score_gemma":0.00205622,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04419048,"about_ca_topic_score_gemma":0.2530584,"domain_scores_codex":[0.9821081,0.001611698,0.002189248,0.009397182,0.002644433,0.00204932],"domain_scores_gemma":[0.8968636,0.0009362216,0.002015028,0.09883434,0.0006075447,0.0007432781],"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":[0.0001609507,0.0003973234,0.00009850645,0.003786871,0.000549591,0.001732751,0.00005590513,6.240775e-7,0.00002873156,0.000005569183,0.9922022,0.0009809888],"study_design_scores_gemma":[0.001119838,0.0001405026,0.001104663,0.002439732,0.00254463,0.0003054607,0.0009395306,0.001512036,0.000003876931,0.00003221216,0.9873177,0.002539854],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001467033,0.0222837,0.000002172839,0.000219414,0.00190428,0.001056099,0.9735633,0.0004182432,0.0004060977],"genre_scores_gemma":[0.00001489805,0.01070521,0.001820179,0.002871258,0.001258943,0.00007344611,0.9826823,0.0004207056,0.0001530229],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2088679,"threshold_uncertainty_score":0.999913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3005360388649355,"score_gpt":0.3721804725538368,"score_spread":0.07164443368890133,"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."}}