{"id":"W2036356665","doi":"10.1007/s12198-009-0024-5","title":"Numerical and experimental investigations for safer transportation of dangerous goods","year":2009,"lang":"en","type":"article","venue":"Journal of Transportation Security","topic":"High-Velocity Impact and Material Behavior","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tonnage; SAFER; Explosive material; Dangerous goods; Shield; Risk analysis (engineering); Engineering; Environmental science; Transport engineering; Computer science; Computer security; Business; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006319739,0.0003255388,0.0003624551,0.0005360546,0.0007511868,0.000537677,0.0009456457,0.0009000063,0.007472644],"category_scores_gemma":[0.002613889,0.0002755065,0.0003372018,0.000496871,0.0009835046,0.0008247317,0.0004015313,0.0005762777,0.0003212337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00050498,"about_ca_system_score_gemma":0.0004081552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001858001,"about_ca_topic_score_gemma":0.001688904,"domain_scores_codex":[0.9996692,0.00005284974,0.00001929845,0.00003200068,0.0001711016,0.00005554373],"domain_scores_gemma":[0.9987094,0.0006970589,0.0001075995,0.0002023715,0.0002450461,0.00003845039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002314185,0.002854859,0.008772108,0.0007258368,0.00004708817,0.0005168845,0.001060934,0.2901407,0.6542261,0.01235927,0.001640099,0.02534181],"study_design_scores_gemma":[0.000220081,0.002036293,0.01333641,0.00006332067,0.00006560147,0.0002709923,0.00113136,0.7067107,0.2701868,0.003363217,0.002535464,0.0000797295],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987847,0.0001439111,0.006915988,0.0001463618,0.00004239819,0.00005871902,0.0001820449,0.00005725856,0.004606286],"genre_scores_gemma":[0.9967905,0.00008202861,0.002471542,0.000007289401,0.000003635846,0.00001543732,0.00006293239,0.000006465718,0.0005601369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007472644,"threshold_uncertainty_score":0.02499843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02307923747815371,"score_gpt":0.3085207652723195,"score_spread":0.2854415277941658,"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."}}