{"id":"W6925070255","doi":"10.1594/pangaea.930108","title":"Calibrated ages of Burns Bog peat core from Canada","year":2021,"lang":"en","type":"dataset","venue":"Publishing Network for Geoscientific and Environmental Data (PANGAEA) (Alfred Wegener Institute for Polar and Marine Research)","topic":"Plasma Applications and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Peat; Bog; Core (optical fiber); Carbon fibers; Radiocarbon dating","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001086593,0.0003813154,0.00067126,0.0001918105,0.0007946499,0.0005912184,0.000840417,0.0003567528,0.0001357007],"category_scores_gemma":[0.0008987794,0.0003536034,0.00009568559,0.0003701321,0.0009126037,0.0006815564,0.002152684,0.0006321985,0.000001625803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001755302,"about_ca_system_score_gemma":0.0006797347,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9853582,"about_ca_topic_score_gemma":0.9681868,"domain_scores_codex":[0.9966002,0.00006646946,0.0005729272,0.001167153,0.0007992498,0.0007940548],"domain_scores_gemma":[0.9969023,0.0006022035,0.0002209019,0.001599752,0.0001036871,0.0005711801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001436451,0.0002073817,0.001432477,0.0004287198,0.0002345167,0.0000299013,0.000009721306,0.00002541273,0.0001577691,0.0001040901,0.9946239,0.002602442],"study_design_scores_gemma":[0.001050655,0.000116206,0.002333278,0.0001914091,0.0004131721,0.00002934009,0.0001252341,0.00132014,0.00009693931,0.0001887959,0.9938125,0.0003223328],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01271506,0.003598597,0.0002307782,0.0006254314,0.0008920486,0.001254873,0.980625,0.00001523319,0.00004293772],"genre_scores_gemma":[0.001427325,0.00507575,0.002855505,0.0001774994,0.000715135,0.0001146858,0.9885646,0.00004763237,0.001021844],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01717139,"threshold_uncertainty_score":0.9998916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0745821154262269,"score_gpt":0.2966179346192301,"score_spread":0.2220358191930032,"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."}}