{"id":"W4363676307","doi":"10.1038/s43247-023-00779-5","title":"Quantitative characterization of orogens through isotopic mapping","year":2023,"lang":"en","type":"article","venue":"Communications Earth & Environment","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Geology; Crust; Earth science; Phanerozoic; Orogeny; Igneous rock; Paleontology; Geochemistry; Tectonics; Structural basin","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001250483,0.00007291815,0.0001315302,0.0000459086,0.000145053,0.000008501843,0.0003415362,0.00003369625,0.003067833],"category_scores_gemma":[0.00002529572,0.00006026463,0.00006377917,0.0003288575,0.000189921,0.00008286787,0.00008301918,0.00007892155,0.001345726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001771974,"about_ca_system_score_gemma":0.000005442852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002330682,"about_ca_topic_score_gemma":0.0001139915,"domain_scores_codex":[0.9992793,0.00009009389,0.0002207009,0.0001387478,0.0001306242,0.0001405088],"domain_scores_gemma":[0.9991537,0.000131564,0.00009302678,0.0005719076,0.00001164628,0.00003814685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001787603,0.0001754426,0.8570379,0.00003425531,0.0001553466,0.000002914353,0.001886172,0.004454675,0.09547763,0.004844557,0.00006167002,0.03585154],"study_design_scores_gemma":[0.00007446607,0.00004955308,0.9551789,0.000008340393,0.00001665848,5.505311e-7,0.00022579,0.01645308,0.001614631,0.003877637,0.02240805,0.00009237888],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993803,0.0002551421,0.0009250011,0.001852548,0.00001815626,0.0001108447,0.00007004118,0.00003654176,0.002928698],"genre_scores_gemma":[0.9904761,0.002502834,0.005606124,0.0001005385,0.000007416561,0.000004694678,0.001028604,0.000001497876,0.0002722251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09814093,"threshold_uncertainty_score":0.9994318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06196495585586,"score_gpt":0.2370873048626275,"score_spread":0.1751223490067675,"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."}}