{"id":"W2793956999","doi":"10.1130/g40331y.1","title":"Appalachian-style multi-terrane Wilson cycle model for the assembly of South China: REPLY","year":2018,"lang":"en","type":"article","venue":"Geology","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":71,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of Waterloo","funders":"","keywords":"Terrane; Geology; Style (visual arts); China; Earth science; Paleontology; Archaeology; Geography","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002777776,0.0001150085,0.0002380202,0.00003316253,0.0001712307,0.000007857458,0.0003062247,0.00008726138,0.001683946],"category_scores_gemma":[0.0001495663,0.00006388775,0.000135323,0.0001401712,0.0003895216,0.00003873339,0.00003039689,0.0001006255,0.0001430312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":9.364631e-7,"about_ca_system_score_gemma":0.00001528914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002758931,"about_ca_topic_score_gemma":0.00495859,"domain_scores_codex":[0.9990149,0.00004454103,0.0002270189,0.0002783338,0.0001000988,0.0003351367],"domain_scores_gemma":[0.9993227,0.0001827458,0.0001077853,0.0002527826,0.00006557288,0.00006848539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005466057,0.0001648692,0.9003677,0.00005403942,0.0002585965,0.000004432195,0.00301627,0.06107499,0.001427734,0.0006643345,0.001353448,0.03106694],"study_design_scores_gemma":[0.000272304,0.0001795423,0.2182247,0.000001736802,0.00004100448,0.000003691857,0.00006673957,0.775295,0.000303711,0.00508677,0.0004408931,0.0000839655],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9718399,0.00026715,0.02338502,0.002614111,0.00011915,0.0001633732,0.00005106064,0.00002959117,0.001530625],"genre_scores_gemma":[0.994388,0.00001156221,0.003818809,0.0007883304,0.0001210583,0.000004238644,0.00005006381,0.000001920825,0.0008159759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7142199,"threshold_uncertainty_score":0.9992287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02275893806928449,"score_gpt":0.2287504429394393,"score_spread":0.2059915048701548,"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."}}