{"id":"W4297682779","doi":"10.1002/9781119830054.ch9","title":"Other Transportation Case Studies","year":2022,"lang":"en","type":"other","venue":"","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"BARGE; Train; Hazardous waste; Aeronautics; Transport engineering; Engineering; Forensic engineering; Marine engineering; Geography; Cartography; Waste management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006229435,0.0007025352,0.0002294879,0.002311453,0.004817905,0.001804975,0.001056817,0.001830101,0.07103717],"category_scores_gemma":[0.002023993,0.0001712408,0.0007439372,0.004273158,0.0004323082,0.001435843,0.001100521,0.000935967,0.01241336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003888589,"about_ca_system_score_gemma":0.002322798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09385241,"about_ca_topic_score_gemma":0.1488943,"domain_scores_codex":[0.9992149,0.0001973685,0.00004854139,0.00008932131,0.0002186975,0.0002311625],"domain_scores_gemma":[0.9992006,0.0001633314,0.00007162878,0.00008131007,0.0003375278,0.000145554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005623082,0.00208616,0.0562788,0.001755112,0.0001108352,0.05122444,0.007154834,0.01614255,0.001223566,0.1044871,0.6061009,0.1528735],"study_design_scores_gemma":[0.00004552586,0.0001323643,0.01236915,0.0003991089,0.00003843121,0.009013241,0.01340256,0.00242838,0.0006623933,0.004733868,0.956735,0.00003998997],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1166231,0.001979736,0.003309599,0.002466024,0.0005645191,0.0008525815,0.01092694,0.0001666238,0.8631108],"genre_scores_gemma":[0.5345309,0.006878491,0.005565221,0.001731011,0.0001920103,0.000837502,0.01630563,0.0001917377,0.4337675],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09385241,"threshold_uncertainty_score":0.237643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01526521894514954,"score_gpt":0.2555174270088123,"score_spread":0.2402522080636628,"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."}}