{"id":"W2964438923","doi":"10.1130/abs/2019am-335178","title":"RECONSTRUCTING LATE PALEOZOIC LAURENTIAN SEDIMENT DISPERSAL VIA MIXTURE MODELLING OF DETRITAL ZIRCON U-PB AGES","year":2019,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Geography and Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Zircon; Paleozoic; Geology; Geochemistry; Sediment; Biological dispersal; Petrology; Paleontology; Population","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":[0.0008803202,0.0005087652,0.0004883259,0.001252469,0.000596997,0.00105372,0.000608051,0.0005754993,0.001055857],"category_scores_gemma":[0.001673923,0.0007897602,0.0007682081,0.0008647735,0.0003106093,0.000706412,0.0006810848,0.0003349798,0.0004419197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009903649,"about_ca_system_score_gemma":0.0007615787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0449079,"about_ca_topic_score_gemma":0.08534713,"domain_scores_codex":[0.9998567,0.00002992726,0.000009235911,0.00007143976,0.00001434669,0.00001843775],"domain_scores_gemma":[0.9995723,0.0001523328,0.00009802807,0.00006440455,0.00007205982,0.00004080896],"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":[0.0008680113,0.00006927788,0.4450235,0.00007934919,0.0007838515,0.0004201705,0.0007559948,0.4784031,0.02025018,0.004405856,0.001486556,0.04745435],"study_design_scores_gemma":[0.00005506695,0.00003733749,0.1056305,0.00001922349,0.0001070219,0.0001037051,0.0001059892,0.8894474,0.001794136,0.0011444,0.001522063,0.00003313115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984392,0.0002043878,0.01384051,0.0001096494,0.00001065222,0.00000451953,0.0005309457,0.0002671729,0.0006401374],"genre_scores_gemma":[0.9936391,0.00006862685,0.005045922,0.000008335303,0.000008766136,0.000004443613,0.0005297876,0.00007080362,0.0006242741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0449079,"threshold_uncertainty_score":0.089293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01183464029306867,"score_gpt":0.1963021060123105,"score_spread":0.1844674657192419,"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."}}