{"id":"W2948937018","doi":"10.1130/abs/2019sc-327662","title":"EVALUATING MODELS FOR CRETACEOUS PALEODRAINAGE AND SEDIMENT ROUTING USING DETRITAL ZIRCON U-PB PROVENANCE AND GEOCHRONOLOGY IN THE COLORADO FRONT RANGE","year":2019,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Colorado Scientific Society","keywords":"Geochronology; Zircon; Provenance; Geology; Cretaceous; Range (aeronautics); Front (military); Geochemistry; Sediment; Paleontology; Oceanography; Materials science","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":[0.00275572,0.0008192108,0.0005728135,0.001205563,0.001038523,0.002055899,0.001722402,0.001022556,0.001354306],"category_scores_gemma":[0.006154465,0.0008190883,0.0008326974,0.0007002659,0.0008960633,0.0007992373,0.0006447358,0.0004937506,0.0002018939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004741769,"about_ca_system_score_gemma":0.002352981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2336326,"about_ca_topic_score_gemma":0.1738795,"domain_scores_codex":[0.9995686,0.0001735227,0.00002101673,0.0001497953,0.00002987376,0.0000571234],"domain_scores_gemma":[0.9963945,0.00263439,0.0003734979,0.00009756994,0.0003342365,0.0001659432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009525818,0.00003174917,0.04598482,0.00001805991,0.0001254184,0.00005964648,0.0001207306,0.9477316,0.0002265715,0.002038581,0.000224932,0.003342693],"study_design_scores_gemma":[0.00003029515,0.00002821242,0.007618911,0.00001538351,0.00005355478,0.00001649121,0.00008860944,0.9906088,0.0001169734,0.001123773,0.0002850528,0.00001384789],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985062,0.0003325139,0.0108901,0.0004205434,0.00001662127,0.00004715339,0.000374879,0.0001186155,0.002737356],"genre_scores_gemma":[0.9944839,0.0001682472,0.003934424,0.00003908533,0.00001181023,0.00004007221,0.0003669149,0.00003826719,0.0009172104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2336326,"threshold_uncertainty_score":0.4645454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04399271491683729,"score_gpt":0.2696130807702732,"score_spread":0.2256203658534359,"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."}}