{"id":"W285048915","doi":"","title":"Field-based aeolian sediment transport threshold measurement : sensors, calculation methods, and standards as a strategy for improving inter-study comparison","year":2010,"lang":"en","type":"dissertation","venue":"Open ULeth Scholarship (OPUS) (University of Lethbridge)","topic":"Aeolian processes and effects","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Alberta Innovates","keywords":"Aeolian processes; Sediment transport; Field (mathematics); Sediment; Environmental science; Remote sensing; Engineering; Hydrology (agriculture); Soil science; Geotechnical engineering; Geology; Geomorphology; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004963618,0.0004368538,0.0008202645,0.0002264988,0.0006481243,0.0002237195,0.0008140635,0.0005055852,0.000453514],"category_scores_gemma":[0.0002051011,0.000476216,0.000191391,0.0002277906,0.00007648882,0.0007645041,0.0000360339,0.00101325,0.000007448305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006555393,"about_ca_system_score_gemma":0.0008848556,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01851109,"about_ca_topic_score_gemma":0.06103471,"domain_scores_codex":[0.9969001,0.0003019343,0.0004308699,0.0008308981,0.001103237,0.0004329668],"domain_scores_gemma":[0.9976519,0.0002109467,0.0005964782,0.0004042896,0.0008492846,0.0002871457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01537835,0.0008415806,0.29615,0.005739013,0.0008943006,0.0001831347,0.01423168,0.00446185,0.004201562,0.0001499255,0.001746726,0.6560219],"study_design_scores_gemma":[0.0110991,0.009676024,0.8518571,0.001708277,0.002489113,0.00001605004,0.03393983,0.05586819,0.016213,0.0007921886,0.01346739,0.002873713],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860188,0.0004718357,0.006631194,0.0003016227,0.0005396577,0.002916559,0.0003570817,0.00004239563,0.002720826],"genre_scores_gemma":[0.9908879,0.0000142389,0.00738046,0.0000917205,0.00005330336,0.000002938634,0.0008819972,0.00002020029,0.0006671781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6531482,"threshold_uncertainty_score":0.999769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04576279185753385,"score_gpt":0.3351199499511075,"score_spread":0.2893571580935737,"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."}}