{"id":"W2613319876","doi":"10.1016/j.jsg.2017.05.004","title":"Permo-Triassic structural evolution of the Shiwandashan and Youjiang structural belts, South China","year":2017,"lang":"en","type":"article","venue":"Journal of Structural Geology","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":79,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Geology; Subduction; Permian; Paleontology; Sinistral and dextral; Foreland basin; Lithosphere; Pluton; Orogeny; Pacific Plate; Plate tectonics; Collision zone; Transpression; Early Triassic; Seismology; Tectonics; Structural basin","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002297307,0.0002751419,0.0002018977,0.001711951,0.0007296132,0.0004598206,0.0003543695,0.0002027991,0.0013954],"category_scores_gemma":[0.0003036385,0.0002802927,0.0002105554,0.00198061,0.0005726495,0.000300635,0.0005673944,0.000135558,0.0001512117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001188273,"about_ca_system_score_gemma":0.001691295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1080517,"about_ca_topic_score_gemma":0.2099198,"domain_scores_codex":[0.9999124,0.000006974639,0.000009933099,0.00002458006,0.00001833456,0.00002783103],"domain_scores_gemma":[0.9998226,0.00001519628,0.00004756891,0.00001327579,0.00005232076,0.00004911768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001948739,0.00003867122,0.950276,0.00007399669,0.0001060103,0.0003668804,0.005187318,0.0009806686,0.02333641,0.001163738,0.0002058673,0.01806971],"study_design_scores_gemma":[0.000002071151,0.000008862368,0.9992193,0.000001937547,0.000005860472,0.00002509667,0.000260205,0.0001431293,0.00009661111,0.00002580788,0.0002093625,0.000001690026],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992946,0.00007280749,0.00003168341,0.00001615926,8.4723e-7,0.000002049039,0.00008142248,0.000002594099,0.000497797],"genre_scores_gemma":[0.9994647,0.0000539823,0.00002570764,0.000005073188,0.000001043579,0.000002484107,0.0001472893,0.000001422248,0.0002983446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1080517,"threshold_uncertainty_score":0.2148455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008720413558543978,"score_gpt":0.2081337002810775,"score_spread":0.1994132867225336,"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."}}