{"id":"W2932883642","doi":"10.4271/2019-01-1109","title":"Pickup Truck and Trailer Gross Vehicle Weight Study","year":2019,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trailer; Pickup; Truck; Automotive engineering; Computer science; Environmental science; Marine engineering; Engineering; Artificial intelligence","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":[0.0003215171,0.0005112708,0.000334534,0.001642678,0.0003483425,0.000411665,0.00053212,0.0002640137,0.003887561],"category_scores_gemma":[0.0009586986,0.0001682631,0.0003820121,0.0009822578,0.0001693429,0.000559867,0.0004215313,0.0002341108,0.0008638555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004592096,"about_ca_system_score_gemma":0.0003214678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00810295,"about_ca_topic_score_gemma":0.01004989,"domain_scores_codex":[0.999599,0.0000308115,0.00001947155,0.00005218087,0.0002453958,0.00005316074],"domain_scores_gemma":[0.9995149,0.0001091574,0.00004628482,0.00006506143,0.0002285055,0.00003610094],"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":[0.002120781,0.001899343,0.1939724,0.0003464977,0.0002100783,0.0009730209,0.0005501764,0.4457601,0.08739956,0.003695133,0.006673659,0.2563992],"study_design_scores_gemma":[0.0001278879,0.005860545,0.2917602,0.00003911668,0.000149187,0.0006013398,0.001151704,0.5692573,0.1169035,0.001071158,0.01293048,0.0001475119],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902402,0.00004623799,0.003717805,0.000007850101,0.000008735558,0.00007188592,0.0007032753,0.0001178565,0.005086128],"genre_scores_gemma":[0.9927713,0.00005852112,0.001884962,0.000004017994,0.000002590654,0.00003250219,0.001820028,0.00003642038,0.003389644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00810295,"threshold_uncertainty_score":0.01611155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008389631777971671,"score_gpt":0.2249777558627439,"score_spread":0.2165881240847722,"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."}}