{"id":"W4232157202","doi":"10.1063/1.5121881.1","title":"10.1063/1.5121881.1","year":2019,"lang":"en","type":"dataset","venue":"Default Digital Object Group","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Subaerial; Beach morphodynamics; Geology; Particle image velocimetry; Flow (mathematics); Mechanics; Acceleration; Geotechnical engineering; Physics; Sediment transport; Geomorphology; Sediment; Classical mechanics","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000106747,0.0008202519,0.0008191594,0.0003347695,0.00006352346,0.0005438406,0.0008005984,0.0007485892,0.002460287],"category_scores_gemma":[0.00007484526,0.000807228,0.0004607493,0.0003733551,0.000068766,0.0005304728,0.0001815261,0.0007471816,0.05363246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001442903,"about_ca_system_score_gemma":0.0000446415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002300742,"about_ca_topic_score_gemma":0.00002046057,"domain_scores_codex":[0.9974849,0.00002038478,0.0005556894,0.00058636,0.000565929,0.0007867541],"domain_scores_gemma":[0.9982608,0.0001172497,0.00007388363,0.001267443,0.0000558639,0.0002247414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002300193,0.00006064397,0.000002677234,0.0003946092,0.0001673513,0.00009445733,0.000007943023,0.00004338381,0.00006834775,0.000006449377,0.9958023,0.003328833],"study_design_scores_gemma":[0.0005766582,0.0001424116,0.00001065732,0.0001132344,0.00009062595,0.00005097661,0.000007406526,0.0002919857,0.00008335916,0.0000334563,0.9976306,0.0009686273],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001791078,0.001074172,0.0001122262,0.000006074851,0.001601842,0.0004179995,0.9811156,0.0005148684,0.01497814],"genre_scores_gemma":[0.001571156,0.0001313367,0.00002107228,0.00006331674,0.0005596047,0.00005241455,0.9948907,0.0001615513,0.002548782],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05117217,"threshold_uncertainty_score":0.9994379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008131319685134543,"score_gpt":0.2054084188903937,"score_spread":0.1972770992052592,"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."}}