{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005388493,0.001628409,0.001863494,0.002033561,0.00147102,0.003870003,0.003256425,0.00488461,0.8202111],"category_scores_gemma":[0.001395828,0.0006469896,0.00083638,0.004083931,0.001134079,0.002901716,0.003678857,0.002871367,0.8118571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001560399,"about_ca_system_score_gemma":0.0005348405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001781341,"about_ca_topic_score_gemma":0.001633944,"domain_scores_codex":[0.9993528,0.00007782861,0.00003592201,0.0001613154,0.0002650298,0.0001070921],"domain_scores_gemma":[0.9994637,0.0001047365,0.00003642221,0.0001761786,0.000134946,0.00008394547],"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":[0.000277022,0.000234477,0.001406615,0.001465031,0.00006727116,0.0005367843,0.0001638999,0.002657393,0.01187635,0.02195989,0.6000193,0.359336],"study_design_scores_gemma":[0.00005038729,0.000035669,0.000757887,0.0002923345,0.00002104214,0.0003512915,0.00008467821,0.007558023,0.001954238,0.006886417,0.9819624,0.00004575559],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.004384608,0.006922464,0.02960358,0.002531077,0.003641975,0.0005552885,0.01751712,0.01613672,0.9187072],"genre_scores_gemma":[0.052269,0.005451371,0.01599367,0.001923599,0.0008261374,0.001103843,0.04383976,0.003222299,0.8753703],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.8202111,"threshold_uncertainty_score":0.256447,"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."}}