{"id":"W4393622836","doi":"10.5281/zenodo.2613910","title":"International Soil Radiocarbon Database v1.0","year":2019,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Wilfrid Laurier University","funders":"European Commission","keywords":"Radiocarbon dating; Database; Geology; Archaeology; Computer science; Environmental science; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006012627,0.0002329806,0.0002069807,0.0004914695,0.001148545,0.002532363,0.004112389,0.0001482526,0.004083188],"category_scores_gemma":[0.0003927659,0.0002466754,0.00007312512,0.0004792954,0.0001317843,0.0007853098,0.002981364,0.0006177415,0.01821286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001714465,"about_ca_system_score_gemma":0.00002006702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002540836,"about_ca_topic_score_gemma":2.250881e-7,"domain_scores_codex":[0.9977048,0.0002504203,0.0003078776,0.0007635019,0.0006142038,0.0003591951],"domain_scores_gemma":[0.9978752,0.00002274994,0.0002507197,0.001174117,0.0005362832,0.000140935],"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":[0.00001086972,0.00005989279,7.667596e-8,0.00009434584,0.00003835986,0.00001756936,0.00005618321,0.00001972703,0.0001504009,0.0001790616,0.9189199,0.08045366],"study_design_scores_gemma":[0.0003362907,0.00006884551,0.000003407667,0.00008932191,0.00001475036,0.0004387477,0.00001832773,0.002942245,0.0001193146,0.00005771401,0.9956418,0.0002692374],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000189408,0.0001415128,0.03755716,0.0007891637,0.002538553,0.0003196649,0.9297085,0.0007818126,0.02814473],"genre_scores_gemma":[0.0001559484,0.0003403113,0.001482103,0.0001735053,0.0004759118,3.710328e-8,0.9959842,0.0004872069,0.0009007904],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08018442,"threshold_uncertainty_score":0.9999986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03012510404373393,"score_gpt":0.2523338564958504,"score_spread":0.2222087524521165,"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."}}