{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006426261,0.001093687,0.0007095433,0.003309697,0.001244665,0.001148306,0.001960908,0.000812705,0.007519632],"category_scores_gemma":[0.001771578,0.0005822662,0.0007382464,0.006266172,0.0004077503,0.0005321075,0.0008903926,0.001020328,0.006290781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009519311,"about_ca_system_score_gemma":0.01508674,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9482784,"about_ca_topic_score_gemma":0.9745443,"domain_scores_codex":[0.9995825,0.00001535493,0.00002286922,0.0001120391,0.0001499316,0.0001173549],"domain_scores_gemma":[0.997897,0.00008399849,0.0001149579,0.0001970911,0.001513181,0.0001937877],"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":[0.0004171543,0.00007405526,0.03237568,0.0007595983,0.0003529233,0.0001589762,0.000153225,0.008408364,0.001296886,0.001674737,0.940465,0.01386338],"study_design_scores_gemma":[0.0002678048,0.00001616345,0.2324822,0.0004057435,0.00015805,0.0001468741,0.0003325609,0.003993934,0.002704077,0.0009438143,0.7584395,0.0001094152],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004852655,0.0001605458,0.000108892,0.00004848367,0.00001850373,0.000009912486,0.9937358,0.0001681032,0.0008971303],"genre_scores_gemma":[0.006496954,0.0001111832,0.0003317927,0.00003079567,0.000004760649,0.00002436126,0.9915071,0.00005641166,0.001436569],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05172163,"threshold_uncertainty_score":0.1040524,"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."}}