{"id":"W6987026094","doi":"","title":"Road goods vehicles travelling to mainland Europe 1st quarter 2003","year":2003,"lang":"en","type":"other","venue":"OpenGrey (Institut de l'Information Scientifique et Technique)","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Mainland; Mainland China; Government (linguistics); Investment (military)","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":[0.0001398297,0.0004422324,0.0001865229,0.001491525,0.0006585998,0.001531881,0.0004925485,0.0005413585,0.1379812],"category_scores_gemma":[0.0004827837,0.000126743,0.0003025474,0.001992213,0.0001324322,0.0006272439,0.0006569198,0.000346076,0.04202915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00105884,"about_ca_system_score_gemma":0.001027636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04362586,"about_ca_topic_score_gemma":0.1179321,"domain_scores_codex":[0.9998541,0.000009835047,0.000006079009,0.00002725202,0.00005352654,0.00004915587],"domain_scores_gemma":[0.999694,0.0000229017,0.00004094113,0.00002565091,0.0001613843,0.00005517975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003005777,0.000127226,0.01556759,0.000357917,0.00004024344,0.0003013964,0.00044105,0.001543397,0.001050752,0.003698282,0.7910516,0.18552],"study_design_scores_gemma":[0.00002347787,0.00005512595,0.05820323,0.0001757716,0.00003125703,0.0001631981,0.0005895444,0.000788992,0.001369551,0.0004437153,0.9381472,0.000008869276],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06748035,0.002878231,0.002479502,0.001906467,0.001522444,0.0001594282,0.09894968,0.001632839,0.8229911],"genre_scores_gemma":[0.04980588,0.001935573,0.0008773254,0.0001730792,0.0001257132,0.00004295339,0.03450247,0.0002123404,0.9123247],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1379812,"threshold_uncertainty_score":0.4615932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02007236117018643,"score_gpt":0.2299891679516252,"score_spread":0.2099168067814387,"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."}}