{"id":"W3047211632","doi":"","title":"Detecting Stratigraphic Disturbance Using Normalized Luminescence Signals from a Portable Optically Stimulated Luminescence (OSL) Reader: Improvements to Site Characterization in Holocene Eolian Deposits on the Canadian Great Plains","year":2016,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Optically stimulated luminescence; Luminescence; Holocene; Aeolian processes; Geology; Disturbance (geology); Optical dating; Thermoluminescence dating; Remote sensing; Mineralogy; Paleontology; Archaeology; Materials science; Optoelectronics; Geography; Quartz","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":[0.0007880736,0.0003864961,0.0002727115,0.002257576,0.001066696,0.001161894,0.001317842,0.0003908479,0.002118316],"category_scores_gemma":[0.001280881,0.0004052099,0.0001814749,0.002205278,0.0006916463,0.0004074036,0.0004247566,0.0003839678,0.0008615281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002856235,"about_ca_system_score_gemma":0.002866192,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5797356,"about_ca_topic_score_gemma":0.8765126,"domain_scores_codex":[0.9993437,0.00004580567,0.00003537489,0.0001731565,0.0003236351,0.00007831499],"domain_scores_gemma":[0.9989838,0.0001039912,0.000107147,0.00006109157,0.0006742339,0.00006965396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003473536,0.00008638353,0.3942822,0.000276585,0.00006496401,0.0001862308,0.002562604,0.001221251,0.4412957,0.0003858209,0.002001371,0.1572896],"study_design_scores_gemma":[0.00001829176,0.00006034821,0.9015181,0.00003127869,0.00005562455,0.0002539268,0.001248988,0.006199261,0.08539726,0.00009811002,0.005071941,0.00004686041],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9581621,0.0004517918,0.03064661,0.000110588,0.00002194383,0.0001529253,0.002685542,0.001011598,0.00675685],"genre_scores_gemma":[0.9239621,0.0004685911,0.06538744,0.0001214599,0.00001024622,0.0001423424,0.001409123,0.0001724875,0.008326251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4202644,"threshold_uncertainty_score":0.8454788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02498415575974816,"score_gpt":0.2374794989656075,"score_spread":0.2124953432058593,"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."}}