{"id":"W639689800","doi":"","title":"Classification Algorithm for Characterizing Long Multiple Trailer Truck Movements","year":2007,"lang":"en","type":"article","venue":"Transportation Research Board 86th Annual MeetingTransportation Research Board","topic":"Transport Systems and Technology","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Truck; Trailer; Transport engineering; Service (business); Level of service; Computer science; Operations research; Engineering; Business; Automotive engineering","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":[0.001630539,0.001513407,0.001957321,0.003604644,0.00142163,0.002056442,0.002495986,0.002747718,0.003611977],"category_scores_gemma":[0.004007658,0.0003573878,0.001320559,0.002807203,0.0004073532,0.001485058,0.001027499,0.001912579,0.002645796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001289872,"about_ca_system_score_gemma":0.002298815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01281456,"about_ca_topic_score_gemma":0.01025127,"domain_scores_codex":[0.9986789,0.0001140731,0.0001821299,0.000499457,0.0003246432,0.0002008215],"domain_scores_gemma":[0.9982993,0.0005958343,0.0001977353,0.00009965374,0.0007343484,0.00007310918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002868282,0.0005346696,0.009259502,0.0001160601,0.00009479161,0.0001568607,0.0001423352,0.08691605,0.00699491,0.002950431,0.01164434,0.8809032],"study_design_scores_gemma":[0.00003149777,0.00007559836,0.00211082,0.00001940666,0.00002535188,0.00008336879,0.0001037102,0.9887242,0.002818733,0.002717795,0.003272698,0.00001687656],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04729416,0.0004501939,0.9431747,0.0003955207,0.0001676005,0.0006348049,0.001563238,0.003373696,0.002946153],"genre_scores_gemma":[0.1989731,0.0002816374,0.7861192,0.0002525518,0.000128016,0.001162745,0.006330763,0.0001312915,0.006620696],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01281456,"threshold_uncertainty_score":0.02547991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05844390495900568,"score_gpt":0.3481920410008452,"score_spread":0.2897481360418395,"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."}}