{"id":"W2957407419","doi":"10.1016/j.dib.2019.104267","title":"Data set on sedimentology, palaeoecology and chronology of Middle to Late Pleistocene deposits on the Taimyr Peninsula, Arctic Russia","year":2019,"lang":"en","type":"article","venue":"Data in Brief","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Vetenskapsrådet; Lunds Universitet; European Science Foundation; European Commission; Polarforskningssekretariatet; Aarhus Universitet; Alberta Agricultural Research Institute; Purdue University","keywords":"Sedimentology; Chronology; Paleoecology; Peninsula; Arctic; Pleistocene; Geology; Paleontology; Archaeology; The arctic; Physical geography; Oceanography; Geography","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":[0.0004650778,0.0007529222,0.0006297685,0.005136623,0.0004755897,0.0006650058,0.000630692,0.0003099402,0.02214163],"category_scores_gemma":[0.00126636,0.0002615587,0.0003283857,0.004918633,0.000212309,0.0003498579,0.0007327208,0.0002026777,0.00937885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000384525,"about_ca_system_score_gemma":0.001550367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0182997,"about_ca_topic_score_gemma":0.02705836,"domain_scores_codex":[0.9995756,0.00003930437,0.0001257772,0.00009162688,0.0001205551,0.00004706267],"domain_scores_gemma":[0.9984626,0.0001989643,0.0004192482,0.0003058586,0.0004462631,0.0001672432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000967257,0.0004571345,0.5398208,0.003840631,0.0003773581,0.001426038,0.001705081,0.003804943,0.01072814,0.00245501,0.245026,0.1893916],"study_design_scores_gemma":[0.00007400823,0.0001429198,0.6674162,0.0003147632,0.00007112524,0.0004667233,0.0006703737,0.0003403038,0.002410003,0.0003357445,0.3277262,0.00003168849],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04309256,0.0002658029,0.0005468504,0.0000291339,0.000036791,0.00009204519,0.9508178,0.0002482136,0.00487077],"genre_scores_gemma":[0.05031572,0.0003020657,0.001268296,0.00002427554,0.00002303665,0.0002903132,0.9451085,0.00005794934,0.002609879],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02214163,"threshold_uncertainty_score":0.07407117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07408379062159759,"score_gpt":0.2866737861004166,"score_spread":0.212589995478819,"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."}}