{"id":"W4213168268","doi":"10.1002/atr.5670380201","title":"Masthead","year":2004,"lang":"en","type":"paratext","venue":"Journal of Advanced Transportation","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Citation; Computer science; World Wide Web; Library science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0004583769,0.001110053,0.0007492419,0.002134473,0.001826555,0.003859165,0.001309899,0.0017411,0.8978821],"category_scores_gemma":[0.001978289,0.0005801078,0.0005269189,0.001858655,0.0003653085,0.002724865,0.002066221,0.00155313,0.8123035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005201921,"about_ca_system_score_gemma":0.0009644589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002274357,"about_ca_topic_score_gemma":0.005957897,"domain_scores_codex":[0.9996415,0.00002907081,0.00001755127,0.00008686294,0.0001810417,0.00004397334],"domain_scores_gemma":[0.9988048,0.0001759549,0.00004692424,0.000199566,0.0005494416,0.0002232481],"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":[0.00004840926,0.00003468451,0.0001000881,0.00006720448,0.000001538066,0.00006539973,0.00004665963,0.00005585433,0.0006199232,0.00247214,0.8658723,0.1306157],"study_design_scores_gemma":[0.000008565452,0.00001705669,0.0004091595,0.00003561638,0.000002450301,0.00008270174,0.00005536764,0.00009217585,0.0002628664,0.0008280042,0.9982016,0.000004491167],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005754049,0.0005990475,0.001894247,0.0009515695,0.001639902,0.00007292528,0.00198524,0.002247949,0.9900338],"genre_scores_gemma":[0.0006007697,0.0001339446,0.0002349292,0.0001118419,0.00007033964,0.00001130067,0.0004465177,0.0002008207,0.9981895],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1021179,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008990510154888751,"score_gpt":0.2480177185827713,"score_spread":0.2390272084278825,"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."}}