{"id":"W6893260477","doi":"10.5281/zenodo.13985301","title":"Spectral analysis of the Colle Gnifetti glacier, Swiss-Italian Alps, Natural Tritium record","year":2025,"lang":"en","type":"peer-review","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Tritium; Spectral analysis; Natural (archaeology); Glacier; Qualitative analysis; Natural radioactivity","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005787213,0.0002449172,0.000132249,0.003573793,0.0005985889,0.000656691,0.0003409339,0.000229665,0.01553088],"category_scores_gemma":[0.00097263,0.000124248,0.0001947955,0.002682485,0.0002161095,0.0003171572,0.0003499207,0.000193666,0.006704591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004395678,"about_ca_system_score_gemma":0.0008526735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02511032,"about_ca_topic_score_gemma":0.06050252,"domain_scores_codex":[0.9998289,0.0000124304,0.0000101365,0.00003180922,0.0001040428,0.00001257257],"domain_scores_gemma":[0.9994149,0.00005128899,0.00004192602,0.0001084183,0.0003425368,0.00004087423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007067733,0.00009452626,0.1000556,0.0009046206,0.0001449565,0.000729217,0.001357814,0.003157724,0.1140157,0.001468056,0.3190073,0.4583577],"study_design_scores_gemma":[0.00002512114,0.00003736106,0.6100217,0.00006747997,0.00004518266,0.0003542803,0.0002244111,0.001058607,0.01285491,0.0003079549,0.3749689,0.00003407023],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4148733,0.005508709,0.02544931,0.001116911,0.0007432113,0.0003893163,0.3805326,0.007978599,0.1634081],"genre_scores_gemma":[0.466731,0.003816201,0.04144883,0.0002528572,0.0005673531,0.0003079888,0.3530455,0.004878998,0.1289514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02511032,"threshold_uncertainty_score":0.051956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03322376565351431,"score_gpt":0.2865480052141817,"score_spread":0.2533242395606674,"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."}}