{"id":"W2377852422","doi":"","title":"CAMBRIAN CORRELATION BETWEEN NORTH AMERICA AND CHINA BASED ON TRILOBITE AND CONODONT FAUNAS","year":2003,"lang":"en","type":"article","venue":"Gushengwu xuebao","topic":"Paleontology and Stratigraphy of Fossils","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trilobite; Paleontology; Geology; Conodont; Biostratigraphy; Laurentia; Sequence (biology); Fauna; Series (stratigraphy); Stage (stratigraphy); China; Ordovician; Archaeology; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000144493,0.0001561689,0.000219247,0.00009756764,0.0002671908,0.00004980791,0.00005354383,0.00009205832,0.0001373834],"category_scores_gemma":[0.00006320568,0.0001337669,0.00003701822,0.0001443301,0.0001901148,0.0001449101,7.696936e-7,0.0001826397,0.00001855687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001860725,"about_ca_system_score_gemma":0.00003226572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007972244,"about_ca_topic_score_gemma":0.003031089,"domain_scores_codex":[0.9990184,0.0001451334,0.0001760356,0.0002865322,0.000125039,0.0002488824],"domain_scores_gemma":[0.9993755,0.0002201381,0.00007858968,0.0001415154,0.00001253605,0.0001717028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003195684,0.000006399702,0.8944846,0.000006339373,0.00001260545,0.00000885289,0.000116952,0.0001233963,0.000001234735,0.000086081,0.00006917193,0.1050523],"study_design_scores_gemma":[0.0005277044,0.0002946678,0.9917092,0.000009763427,0.00002462192,0.000007690192,0.0000333175,0.003454517,0.000005689584,0.0001980169,0.00356896,0.0001657968],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9118195,0.001654285,0.0005930165,0.0001713775,0.0001424616,0.000169564,0.00009537924,0.00003680245,0.08531766],"genre_scores_gemma":[0.9989993,0.00004876448,0.0006455807,0.0001370964,0.00003821913,0.000001080547,0.00005460787,0.000001288752,0.00007403721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1048865,"threshold_uncertainty_score":0.5454856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01041186604436899,"score_gpt":0.1963443299987603,"score_spread":0.1859324639543913,"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."}}