{"id":"W6924959764","doi":"10.1594/pangaea.971500","title":"Results of AMS dating of massive ice in northern Canada and Yamal Peninsula","year":2024,"lang":"en","type":"dataset","venue":"Publishing Network for Geoscientific and Environmental Data (PANGAEA) (Alfred Wegener Institute for Polar and Marine Research)","topic":"Plant tissue culture and regeneration","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Russian Science Foundation","keywords":"Radiocarbon dating; Peninsula; Sea ice; Accelerator mass spectrometry; Radiometric dating; Absolute dating; Ice caps; Stable isotope ratio","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":[0.000929613,0.001437642,0.0008987791,0.005317413,0.001429178,0.001737881,0.002344439,0.0007550666,0.01265055],"category_scores_gemma":[0.003217905,0.0004992585,0.0008777839,0.0109034,0.0004021192,0.0005569965,0.001725249,0.0008047521,0.01076301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006550333,"about_ca_system_score_gemma":0.01222719,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8547004,"about_ca_topic_score_gemma":0.9036809,"domain_scores_codex":[0.9992212,0.00005081996,0.00007689291,0.0001718504,0.0003027605,0.0001763273],"domain_scores_gemma":[0.9967225,0.0002371618,0.0002435561,0.0003420192,0.002191107,0.0002636015],"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":[0.0002646563,0.00003458724,0.03004249,0.001250063,0.0003050326,0.0001415068,0.0001879397,0.001367599,0.0006269451,0.0004601898,0.950175,0.01514401],"study_design_scores_gemma":[0.0002313378,0.00001150324,0.1642476,0.0005179849,0.0001810759,0.000100558,0.0004968491,0.0006268189,0.001062404,0.0003636232,0.8320844,0.00007588955],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001447647,0.0001331178,0.00003078749,0.0000305228,0.00001001364,0.000006530838,0.9974504,0.0001121686,0.0007787754],"genre_scores_gemma":[0.003212068,0.0001389943,0.0002533394,0.00001619654,0.00000490959,0.00003087212,0.9953335,0.00005543453,0.0009547129],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1452996,"threshold_uncertainty_score":0.2923105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03021762403741885,"score_gpt":0.2650622053099931,"score_spread":0.2348445812725743,"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."}}