{"id":"W1153345924","doi":"10.1007/s00334-015-0537-8","title":"Late Pleistocene and Holocene palaeoenvironmental changes in central Tierra del Fuego (~54°S) inferred from pollen analysis","year":2015,"lang":"en","type":"article","venue":"Vegetation History and Archaeobotany","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; University of Northern British Columbia","funders":"Agencia Nacional de Promoción Científica y Tecnológica; Universidad Nacional del Sur; LOEWE Zentrum AdRIA; Consejo Nacional de Investigaciones Científicas y Técnicas; Canada Research Chairs","keywords":"Nothofagus; Holocene; Ecotone; Steppe; Vegetation (pathology); Shrub; Geography; Pollen; Geology; Tierra; Ecology; Forestry; Physical geography; Archaeology; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002840611,0.0001394421,0.0002615009,0.0002823554,0.00009362977,0.000007880753,0.00009295527,0.000118114,0.0003808215],"category_scores_gemma":[0.00003329424,0.0001333923,0.00002994571,0.00017195,0.0004965611,0.0001450347,0.00002718676,0.0001918691,0.00003762314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001531769,"about_ca_system_score_gemma":0.00004407161,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001547266,"about_ca_topic_score_gemma":0.03013278,"domain_scores_codex":[0.9987501,0.0002234005,0.000180212,0.0003469935,0.00016696,0.0003323698],"domain_scores_gemma":[0.9994195,0.0001244257,0.00006818686,0.0001261328,0.00001335786,0.0002483646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001261245,0.00001617058,0.9927103,0.000008452766,0.00006189389,0.00004786816,0.003994559,0.0009306818,0.00001210981,0.00002174959,0.00002381618,0.002046307],"study_design_scores_gemma":[0.0006701754,0.0001097483,0.9844081,0.000006565731,0.00006280003,0.000009894032,0.0001941985,0.01328923,0.00001071933,0.0006207103,0.0004735967,0.000144283],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986637,0.01186003,0.00004602958,0.0005379138,0.0001609099,0.0001185741,0.0000286937,0.0000179749,0.0005928908],"genre_scores_gemma":[0.9982871,0.0006359832,0.0004064247,0.0002081377,0.00003906085,0.000003622379,0.0001810331,0.000003175359,0.0002355013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02858552,"threshold_uncertainty_score":0.9875647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02727778648505547,"score_gpt":0.2194697112646464,"score_spread":0.1921919247795909,"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."}}