{"id":"W616140083","doi":"","title":"FOLLOW THAT CAR : VEHICLE IDENTIFICATION NUMBERS HELP CPR TRACK AUTO SHIPMENTS","year":2003,"lang":"en","type":"article","venue":"Progressive railroading","topic":"Law, logistics, and international trade","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Track (disk drive); Truck; Identification (biology); Transport engineering; Visibility; Moment (physics); Vehicle tracking system; Engineering; Yard; Automotive engineering; Aeronautics; Computer science; Operating system; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005218581,0.0006910053,0.0002960406,0.002552232,0.001832708,0.002051691,0.00101961,0.0009474683,0.2614361],"category_scores_gemma":[0.004173055,0.0002989216,0.0001977606,0.001984929,0.000277935,0.001904734,0.001335081,0.0006905572,0.206135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001445615,"about_ca_system_score_gemma":0.002181897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1705828,"about_ca_topic_score_gemma":0.2646415,"domain_scores_codex":[0.999542,0.00003039472,0.00002743319,0.00006037452,0.0002422801,0.00009766789],"domain_scores_gemma":[0.9974874,0.0002087355,0.0001929235,0.0002759332,0.001523776,0.0003111743],"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":[0.00004519874,0.00004511368,0.006314909,0.00004313947,0.000004116269,0.00008071074,0.0001958577,0.000136786,0.0004290198,0.001317479,0.8305469,0.1608408],"study_design_scores_gemma":[0.00001363339,0.00001946569,0.01558069,0.00005493665,0.000009013605,0.000122698,0.0004387329,0.00121645,0.001709773,0.0009161021,0.9798862,0.00003229713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02010946,0.0007032236,0.01496828,0.006884448,0.001259708,0.000432198,0.04610869,0.02860378,0.8809301],"genre_scores_gemma":[0.1389793,0.001481492,0.02852344,0.001212779,0.000296924,0.0001686947,0.03453421,0.001878522,0.7929246],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2614361,"threshold_uncertainty_score":0.874591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04514917418102671,"score_gpt":0.2681442777712216,"score_spread":0.2229951035901949,"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."}}