{"id":"W2589807974","doi":"","title":"Truckload earnings mixed in 3rd quarter; Roadrunner gains, others report declines","year":2016,"lang":"en","type":"article","venue":"Transport topics","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Earnings; Quarter (Canadian coin); Truck; Economics; Business; Transport engineering; Engineering; Finance; Automotive engineering; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001592058,0.0001584666,0.000197512,0.0001274894,0.00002793584,0.000006123907,0.000106542,0.0001148253,0.000223079],"category_scores_gemma":[0.000009121224,0.0001300288,0.000077376,0.000256882,0.00004353848,0.0001482191,0.000001037319,0.00012088,0.00002774112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004175168,"about_ca_system_score_gemma":0.00003141617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005990591,"about_ca_topic_score_gemma":0.001570025,"domain_scores_codex":[0.9988218,0.000008694211,0.0005690269,0.0002104725,0.0001474535,0.0002425745],"domain_scores_gemma":[0.9995445,0.00002118509,0.00004150215,0.0002803609,0.0000485271,0.00006392164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002268108,0.00008641079,0.9693441,0.0000904486,0.00007037078,0.0002410424,0.002176012,0.002151013,0.006565161,0.002399466,0.0006915441,0.01616171],"study_design_scores_gemma":[0.000796346,0.00001705583,0.906926,0.00005630348,0.00001967252,0.00001079326,0.0001516932,0.00007257485,0.001535351,0.0001704828,0.08999596,0.0002477608],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770687,0.00003372645,0.0182139,0.001287391,0.000453105,0.0001815097,0.00002155611,0.0003766035,0.002363503],"genre_scores_gemma":[0.9968653,0.00004846846,0.001025512,0.00009187857,0.00008937057,0.00003826514,0.00005450704,0.00002870156,0.001758031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08930441,"threshold_uncertainty_score":0.5302418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01554683760906572,"score_gpt":0.242075722693616,"score_spread":0.2265288850845503,"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."}}