{"id":"W4311731768","doi":"10.1111/bre.12741","title":"Multi‐proxy evidence for rapidly shifting sediment sources to the Taiwan Western Foreland Basin at the Miocene–Pliocene transition","year":2022,"lang":"en","type":"article","venue":"Basin Research","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Science and Technology, Taiwan","keywords":"Foreland basin; Geology; Illite; Late Miocene; Paleontology; Neogene; Authigenic; Sediment; Glacial period; Pleistocene; Geochemistry; Structural basin; Clay minerals","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009963737,0.0001689145,0.0002158617,0.0002125781,0.004519374,0.0001258442,0.001040582,0.00009261547,0.002265081],"category_scores_gemma":[0.0006815223,0.00010178,0.000114572,0.0007373194,0.000478756,0.0001250486,0.0002166297,0.000825685,0.0003605319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001971955,"about_ca_system_score_gemma":0.0002078073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001323497,"about_ca_topic_score_gemma":0.009893477,"domain_scores_codex":[0.9947142,0.002257807,0.0002921768,0.0005751096,0.00105798,0.001102708],"domain_scores_gemma":[0.9943072,0.004790394,0.00005571742,0.0004985897,0.0001601801,0.0001878842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000880254,0.00003837707,0.9853391,0.00004305685,0.00003189361,0.00002156121,0.003085111,0.003996327,0.00004722769,0.00001146415,0.004137981,0.002367642],"study_design_scores_gemma":[0.0009443603,0.001026613,0.9292895,0.00004991094,0.000023385,0.000126934,0.003874184,0.02026625,0.0005356126,0.000179807,0.04345884,0.0002245601],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9186251,0.002799755,0.0002242725,0.07592165,0.0002164157,0.001813744,0.0001555362,0.00002654975,0.000216959],"genre_scores_gemma":[0.9951169,0.0000745095,0.0003519694,0.001468129,0.0001559926,0.0002587824,0.0001177399,0.000009533861,0.002446473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07649176,"threshold_uncertainty_score":0.998647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1275554936815672,"score_gpt":0.3624253409423011,"score_spread":0.2348698472607338,"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."}}