{"id":"W1965273505","doi":"10.1029/2010gc003084","title":"A geologically constrained Monte Carlo approach to modeling exposure ages from profiles of cosmogenic nuclides: An example from Lees Ferry, Arizona","year":2010,"lang":"en","type":"article","venue":"Geochemistry Geophysics Geosystems","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":267,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Cosmogenic nuclide; Nuclide; Geology; Geochronology; Surface exposure dating; Monte Carlo method; Erosion; Pebble; Clastic rock; Mineralogy; Geochemistry; Geomorphology; Nuclear physics; Moraine; Glacial period; Physics","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"],"consensus_categories":[],"category_scores_codex":[0.0004970165,0.0004271153,0.0008117921,0.00006588022,0.0002800927,0.00008051642,0.0009651793,0.0006051196,0.0006681472],"category_scores_gemma":[0.00009732783,0.0003780296,0.0001775592,0.0002446393,0.0003987756,0.0001901141,0.00008993709,0.0008040478,0.0001160151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002403239,"about_ca_system_score_gemma":0.0001710259,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05288104,"about_ca_topic_score_gemma":0.007058859,"domain_scores_codex":[0.9968399,0.0002021507,0.0006702775,0.001024315,0.000474494,0.0007889053],"domain_scores_gemma":[0.9976455,0.000462619,0.0002425009,0.000959306,0.000269708,0.0004203961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00021196,0.000175994,0.9428686,0.0001134697,0.0001967046,0.00003044636,0.001236491,0.01122072,0.04320594,0.00005520902,0.00004189032,0.0006425503],"study_design_scores_gemma":[0.003839227,0.0009426721,0.4119583,0.0002450157,0.0003278599,0.0001920427,0.01051456,0.5329877,0.02111491,0.01500096,0.0002368485,0.00263992],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933088,0.0004038677,0.0003231706,0.00004862064,0.0003027452,0.0005178079,0.001511404,0.0001110271,0.003472543],"genre_scores_gemma":[0.9939172,0.00001163906,0.002709594,0.00004899077,0.0004143751,0.00003457605,0.002730863,0.00001204287,0.0001207004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5309103,"threshold_uncertainty_score":0.9998671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03419916289761289,"score_gpt":0.2271791945438559,"score_spread":0.192980031646243,"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."}}