{"id":"W7095816169","doi":"","title":"VEHICLE SURVEY","year":2013,"lang":"en","type":"article","venue":"","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transshipment (information security); Truck; Commodity; TRIPS architecture; Obstacle; Tractor","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006182952,0.0005098124,0.0004579797,0.002895279,0.001474592,0.001029022,0.001199658,0.0004709263,0.06540099],"category_scores_gemma":[0.002422733,0.0003201377,0.0003985826,0.006523599,0.0002271547,0.0005876878,0.0007294682,0.0005100406,0.02447565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01214716,"about_ca_system_score_gemma":0.01371289,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9266506,"about_ca_topic_score_gemma":0.9603099,"domain_scores_codex":[0.9984469,0.00006767764,0.0000784546,0.0001891056,0.001007573,0.0002104028],"domain_scores_gemma":[0.9950101,0.00010549,0.0002269387,0.0001558932,0.004241669,0.0002599826],"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":[0.0001648829,0.0001124938,0.1119896,0.0006987255,0.00004848377,0.0001615492,0.0008632886,0.000475454,0.0006973438,0.002112538,0.8158361,0.06683945],"study_design_scores_gemma":[0.00003519675,0.00004806955,0.4142369,0.0001683643,0.00002438512,0.00008985707,0.0007703365,0.0004596782,0.0002278818,0.0001031844,0.5838069,0.00002922966],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.02776436,0.0006531607,0.001135443,0.0008165085,0.0001423657,0.001435441,0.8201794,0.000315231,0.1475581],"genre_scores_gemma":[0.09216116,0.002057749,0.002875846,0.000644284,0.00009810321,0.001612557,0.6508786,0.0001330491,0.2495387],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.934599,"threshold_uncertainty_score":0.2187881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02513429154886827,"score_gpt":0.1655628638038613,"score_spread":0.1404285722549931,"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."}}