{"id":"W2546845612","doi":"10.26034/la.atl.2003.365","title":"method for quickly estimating the equivalent dose in optical dating of K-feldspar","year":2003,"lang":"en","type":"article","venue":"Ancient TL","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Optical dating; Sample (material); Equivalent dose; Feldspar; Statistics; Sampling (signal processing); Mineralogy; Estimation; Mathematics; Environmental science; Geology; Computer science; Materials science; Radiation; Chemistry; Optics; Engineering; Physics; Composite material; Chromatography; Computer vision; Quartz","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.002490394,0.00006930865,0.0001504176,0.00005362142,0.0001412127,0.000009735802,0.0001860448,0.00006577168,0.0003705382],"category_scores_gemma":[0.0007485956,0.00004566911,0.00004187033,0.0001910787,0.0001390106,0.00005249503,0.00001234272,0.0001598026,0.00003890508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":9.700502e-7,"about_ca_system_score_gemma":0.0000686229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000868235,"about_ca_topic_score_gemma":0.000581192,"domain_scores_codex":[0.9988406,0.000231034,0.0002268763,0.000182272,0.0001388412,0.0003803727],"domain_scores_gemma":[0.9982331,0.001467027,0.00005982043,0.000153083,0.00003607093,0.00005086496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002151291,0.00001682174,0.9855585,0.00003054894,0.00000594762,0.00000425758,0.0002493515,0.008373291,0.00004051056,0.002605393,0.00009073702,0.003003202],"study_design_scores_gemma":[0.0007125412,0.0002719966,0.7247157,0.00003810858,0.00001639099,0.00006318478,0.0006113669,0.2671503,0.0009749529,0.004064127,0.001236749,0.0001445295],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732591,0.0003993053,0.0159841,0.0004039138,0.0002307358,0.000297868,0.000008451076,0.000008573948,0.00940799],"genre_scores_gemma":[0.8934709,0.000003755704,0.1062666,0.0001627739,0.00001711919,0.0000048657,0.00001193766,0.000001311292,0.00006066261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2608427,"threshold_uncertainty_score":0.4057133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05520954933392961,"score_gpt":0.3372601663012014,"score_spread":0.2820506169672718,"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."}}