{"id":"W2032866683","doi":"10.1115/1.4026390","title":"Experimental Modeling of Wind-Driven Bin-by-Bin Resuspension Factors of Freshly Fallen Radionuclides After an Energetic Release From a Radiological Dispersal Device","year":2014,"lang":"en","type":"article","venue":"Journal of Nuclear Engineering and Radiation Science","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Bin; Radionuclide; Environmental science; Particle (ecology); Range (aeronautics); Wind tunnel; TRACER; Atmospheric sciences; Hydrology (agriculture); Nuclear physics; Physics; Materials science; Geotechnical engineering; Mechanics; Geology; Oceanography; Engineering","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":[0.0004089688,0.0003808498,0.0003114535,0.0002226005,0.0003116294,0.0004018662,0.0006225384,0.0005484099,0.0008832873],"category_scores_gemma":[0.0009368062,0.0002240523,0.0003655151,0.0002348562,0.0003005639,0.0003871161,0.0002324813,0.0004838156,0.0001543245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006612184,"about_ca_system_score_gemma":0.0004579727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006082156,"about_ca_topic_score_gemma":0.00573568,"domain_scores_codex":[0.9998623,0.00001120807,0.00001189303,0.00004485481,0.00003955925,0.00003010198],"domain_scores_gemma":[0.9994088,0.0003136397,0.00008410873,0.0000423146,0.000114503,0.0000366063],"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":[0.000668746,0.0005421835,0.02138136,0.0001617887,0.00003383151,0.0003174449,0.000107993,0.8418219,0.1261848,0.0006023729,0.0002226188,0.007954967],"study_design_scores_gemma":[0.00002570467,0.0003157866,0.007550636,0.000003647223,0.00001068356,0.00002175149,0.00003390474,0.9641105,0.02769341,0.0001054873,0.0001107806,0.00001757405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890978,0.00004092404,0.009684809,0.00002182185,0.00001099627,0.00005171952,0.0002458414,0.0000664496,0.0007796289],"genre_scores_gemma":[0.9968824,0.00004140891,0.002578035,0.00000455798,0.00000114211,0.0000385869,0.0001100686,0.000006536189,0.0003370991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006082156,"threshold_uncertainty_score":0.01209348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02771216792504037,"score_gpt":0.2915993370312674,"score_spread":0.263887169106227,"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."}}