{"id":"W2948908422","doi":"","title":"Navistar revenue of $2.4 billion marks best first-quarter gains since 2010","year":2019,"lang":"en","type":"article","venue":"Transport topics","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Revenue; Truck; Engineering; Economics; Finance; Business; Agricultural economics; Geography; Automotive engineering; Archaeology","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":[0.00200037,0.001207768,0.0006188792,0.001775886,0.001576734,0.003704621,0.001156421,0.001601512,0.1253881],"category_scores_gemma":[0.005655187,0.000334334,0.001017218,0.00163168,0.0005697689,0.002705615,0.00332536,0.002596955,0.06380223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003831358,"about_ca_system_score_gemma":0.007828068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06819201,"about_ca_topic_score_gemma":0.07876457,"domain_scores_codex":[0.9983869,0.0001586373,0.00003170941,0.00009825164,0.0008763798,0.0004483121],"domain_scores_gemma":[0.9980174,0.0001134308,0.00009653319,0.00009277382,0.0009997677,0.0006801779],"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":[0.0001687505,0.0000635996,0.001531339,0.00007248543,0.00002233621,0.00006321514,0.00005989144,0.0004929461,0.0004115236,0.00941206,0.9322177,0.0554841],"study_design_scores_gemma":[0.00002407245,0.0001086225,0.004876195,0.00006959341,0.00001408151,0.0001072184,0.0002304853,0.000985081,0.0004448245,0.001548778,0.99157,0.00002098135],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03937168,0.007934418,0.00596856,0.07365683,0.02822902,0.0002141226,0.05391443,0.008178963,0.782532],"genre_scores_gemma":[0.1153843,0.005619886,0.003578719,0.004364826,0.002135827,0.000109539,0.03502963,0.001221264,0.832556],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1253881,"threshold_uncertainty_score":0.4194651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08076607316862353,"score_gpt":0.3331465402719618,"score_spread":0.2523804671033383,"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."}}