{"id":"W4298176119","doi":"","title":"Recent changes in the age composition of drivers in 15 countries","year":2011,"lang":"en","type":"report","venue":"Deep Blue (University of Michigan)","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Toyota Motor Engineering and Manufacturing North America; College of Pharmacy, University of Michigan; Saudi Aramco; University of Michigan","keywords":"Composition (language); Geography; Art","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002719931,0.0001289871,0.0002999897,0.0002683299,0.00003784884,0.00000336572,0.00029878,0.0001937358,0.0001533695],"category_scores_gemma":[0.000003460906,0.0001352575,0.00005032428,0.0002254113,0.00008819583,0.00007131417,0.00004369488,0.0002911249,0.000006269823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008031452,"about_ca_system_score_gemma":0.00005870084,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004032272,"about_ca_topic_score_gemma":0.07141032,"domain_scores_codex":[0.9993376,0.00003197767,0.0001307103,0.0001181875,0.0002365412,0.0001449451],"domain_scores_gemma":[0.9995629,0.00003031085,0.0001038707,0.0002094142,0.0000713234,0.00002218983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003218949,0.0004916351,0.008336918,0.005368732,0.0004693475,0.001117564,0.8988088,0.01680731,0.005315522,0.0002965798,0.004274849,0.05839083],"study_design_scores_gemma":[0.001834004,0.0002082878,0.07343027,0.002501165,0.0002149955,0.00005759163,0.08001436,0.007470634,0.002429389,0.00005243663,0.8308596,0.0009272937],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894953,0.001229576,0.00006059426,0.00006074224,0.0001885827,0.0002001425,0.0000585417,0.00002082251,0.008685644],"genre_scores_gemma":[0.9569935,0.04237767,0.0002261876,0.00001687882,0.00003580352,6.519243e-7,0.0001284759,0.00001722876,0.000203599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8265847,"threshold_uncertainty_score":0.9455341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01958793162688647,"score_gpt":0.2001445960892481,"score_spread":0.1805566644623617,"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."}}