{"id":"W27528680","doi":"","title":"COSMIC RAY BACKGROUND ANALYSIS FOR A CARGO CONTAINER COUNTER.","year":2001,"lang":"en","type":"article","venue":"University of North Texas Digital Library (University of North Texas)","topic":"Radiation Therapy and Dosimetry","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Douglas College","funders":"U.S. Department of Energy","keywords":"Cosmic ray; Neutron; Normalization (sociology); Physics; Container (type theory); Spallation; Nuclear physics; Neutron flux; Flux (metallurgy); Nuclear engineering; COSMIC cancer database; Neutron detection; Computer science; Computational physics; Astrophysics; Engineering; Mechanical engineering; Materials science","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":[0.0008651006,0.0006391993,0.0004075972,0.0008373408,0.0004297243,0.0009475505,0.0006176099,0.0005019638,0.003903138],"category_scores_gemma":[0.002808206,0.0002143077,0.0007436805,0.0009278658,0.0001875058,0.000803185,0.0003022121,0.0004764164,0.0008628581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001847764,"about_ca_system_score_gemma":0.001750769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007178819,"about_ca_topic_score_gemma":0.006723894,"domain_scores_codex":[0.9995393,0.0001186876,0.00001598959,0.00005787128,0.0002472998,0.00002103075],"domain_scores_gemma":[0.9992512,0.0003195305,0.00007844273,0.0001021449,0.0002207246,0.00002783489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0007707928,0.0001218458,0.03269256,0.0003779132,0.0002331479,0.0004543339,0.0001574267,0.6975588,0.0637485,0.07549606,0.008623259,0.1197653],"study_design_scores_gemma":[0.00002899734,0.0001145193,0.003860151,0.00003487978,0.00008454921,0.0002624252,0.00002303597,0.9316474,0.04698845,0.005053519,0.01186982,0.00003225723],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1263706,0.001136085,0.8447042,0.0006047632,0.0001731076,0.0001361718,0.001397279,0.004339291,0.0211386],"genre_scores_gemma":[0.7810941,0.001084267,0.200251,0.0002767286,0.00005105338,0.0001668415,0.003328562,0.000794867,0.01295272],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007178819,"threshold_uncertainty_score":0.01427406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01417054330653862,"score_gpt":0.1999385820086594,"score_spread":0.1857680387021208,"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."}}