{"id":"W6957602335","doi":"10.6068/dp174c0c628cd11","title":"TREND: United Nations Economic Commission for Europe. Transport Statistics [Archive]: Number of Trailers | Country: United States | Selection 1: Total, 1994 - 2005. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 054-004-025","year":2020,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commission; Commonwealth; Official statistics; Publishing; Economic statistics; Economic data; Resource (disambiguation); Truck","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":[0.001418576,0.001837461,0.001613397,0.006743766,0.000806982,0.003258913,0.002288972,0.001131489,0.1052106],"category_scores_gemma":[0.01308987,0.0009947366,0.001087731,0.02638051,0.0002983351,0.003229163,0.001351502,0.002441284,0.1107745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002965918,"about_ca_system_score_gemma":0.00619762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1556311,"about_ca_topic_score_gemma":0.08229204,"domain_scores_codex":[0.9979746,0.000248264,0.0003683145,0.0004319668,0.0006642198,0.0003126542],"domain_scores_gemma":[0.9908041,0.001111465,0.001029718,0.0007815284,0.005926907,0.0003462834],"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":[0.0000115025,0.000004901143,0.0003747055,0.0001275435,0.00000770631,0.000003931028,0.000006570763,0.00005655777,0.000005423416,0.0002259103,0.9980848,0.00109054],"study_design_scores_gemma":[0.00007488199,0.00001122889,0.007533136,0.0005146719,0.00002812629,0.00001775011,0.0001742909,0.0001596942,0.00009094312,0.0004993603,0.9908739,0.00002183963],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005748914,0.00003985077,0.00004283772,0.00007095151,0.00004850859,0.00001252297,0.9987073,0.00006151372,0.0009589957],"genre_scores_gemma":[0.0003877929,0.0001347837,0.0001754174,0.00005466471,0.00002181702,0.0001102959,0.9971209,0.00006741808,0.001926774],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1556311,"threshold_uncertainty_score":0.3519647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0341860970731532,"score_gpt":0.2879361922622805,"score_spread":0.2537500951891273,"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."}}