{"id":"W3172648784","doi":"10.1038/s42949-021-00020-2","title":"Urban access across the globe: an international comparison of different transport modes","year":2021,"lang":"en","type":"article","venue":"npj Urban Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Polytechnique Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; European Commission; Chinese Academy of Sciences; World Bank Group","keywords":"Metropolitan area; Destinations; Market access; Population; Geography; Transport network; Economic geography; Business; Economic growth; Regional science; Transport engineering; Tourism; Economics; Demography; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001407564,0.0002355884,0.0004627258,0.00003224347,0.000852149,0.0002134816,0.001573448,0.0001867889,0.0005340273],"category_scores_gemma":[0.0004679551,0.0001801331,0.0002837701,0.0005190126,0.001344876,0.001091748,0.0001205893,0.0004137705,0.000001059786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005198935,"about_ca_system_score_gemma":0.000745396,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004508909,"about_ca_topic_score_gemma":0.01852946,"domain_scores_codex":[0.9965269,0.0005639386,0.0007180701,0.000658109,0.0009238154,0.0006091495],"domain_scores_gemma":[0.9970978,0.0002217385,0.0002336789,0.0008942864,0.001337437,0.0002149863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000987686,0.001084945,0.9594191,0.00008660448,0.00003797779,0.000007769005,0.02807471,0.00003167415,0.0000348125,0.008223327,0.0003980978,0.002502172],"study_design_scores_gemma":[0.0003292223,0.00003396802,0.9437003,0.00001029795,0.00003844113,1.640295e-7,0.03642481,0.0001582464,0.00134622,0.0086913,0.009062591,0.0002044167],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895144,0.0002031368,0.0004998029,0.00221588,0.0004072137,0.000535137,0.000102028,0.0001033446,0.006419028],"genre_scores_gemma":[0.9983152,0.00001218617,0.00002942146,0.00007813254,0.0003777544,0.00004020585,0.00009059485,0.00001488684,0.00104168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01571882,"threshold_uncertainty_score":0.9993798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03635552757286149,"score_gpt":0.3980665915467718,"score_spread":0.3617110639739103,"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."}}