{"id":"W2084470761","doi":"10.1016/j.jseaes.2010.06.003","title":"Climate changes inferred from integrated multi-site pollen data in northern Taiwan","year":2010,"lang":"en","type":"article","venue":"Journal of Asian Earth Sciences","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of British Columbia; National Taiwan University; Academia Sinica; National Science Council","keywords":"Pollen; Tsuga; Palynology; Climate change; Physical geography; Geology; Ecology; Geography; Oceanography; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003932609,0.0002126916,0.0002610375,0.0009587375,0.0003065162,0.0005694754,0.0003978848,0.0003968361,0.0004985204],"category_scores_gemma":[0.0009282372,0.0002676662,0.0003351523,0.001576058,0.0002199733,0.0004964006,0.0004638673,0.0002638346,0.0000989758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008059109,"about_ca_system_score_gemma":0.0005283321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0431002,"about_ca_topic_score_gemma":0.06510675,"domain_scores_codex":[0.9998655,0.00002157254,0.00002042071,0.00005264134,0.00001529152,0.00002463732],"domain_scores_gemma":[0.9993982,0.0001353055,0.0001605643,0.00007072135,0.0001336818,0.0001014584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001653287,0.00006262208,0.9843048,0.00002612888,0.0001674707,0.0003899258,0.0003923055,0.002865296,0.006613334,0.00007403631,0.0001449166,0.004793915],"study_design_scores_gemma":[0.000007080075,0.00001415734,0.9959008,0.000003960933,0.00004783097,0.00004245056,0.0001784509,0.003459476,0.0001757592,0.0000216539,0.0001432081,0.000005178402],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996504,0.00002501231,0.00003292494,0.00001100976,0.000001239427,0.000001173021,0.0001703272,0.000003210797,0.0001047734],"genre_scores_gemma":[0.9995458,0.00001852894,0.00005527495,0.0000039846,0.000002032737,0.000002075474,0.0003239553,0.000001506796,0.00004682292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0431002,"threshold_uncertainty_score":0.08569866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04767071160350137,"score_gpt":0.2969157219922684,"score_spread":0.249245010388767,"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."}}