{"id":"W2038073278","doi":"10.3828/idpr.25.3.4","title":"The search for sustainable transport in a developing city: <i>The case of Tianjin</i>","year":2003,"lang":"en","type":"article","venue":"International Development Planning Review","topic":"China's Socioeconomic Reforms and Governance","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Lagging; China; Variety (cybernetics); Business; Transport engineering; Economic geography; Distribution (mathematics); Sustainable transport; Sustainable development; Environmental planning; Geography; Regional science; Engineering; Sustainability; Political science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003410694,0.00007621698,0.0001489146,0.00002550932,0.0004587115,0.00003133924,0.0003087262,0.00003036691,0.0000305336],"category_scores_gemma":[0.0003448238,0.00004786322,0.00005654496,0.0001385927,0.00008398037,0.0001442052,0.00002019645,0.0000912257,0.000002777041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003788832,"about_ca_system_score_gemma":0.0008536442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006573776,"about_ca_topic_score_gemma":0.0008618214,"domain_scores_codex":[0.9989653,0.00006191142,0.0004068517,0.0001325364,0.0001815758,0.0002517788],"domain_scores_gemma":[0.9992344,0.0003370219,0.0001480647,0.00008178713,0.0001708979,0.0000277752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000464674,0.00006999213,0.214404,0.001553491,0.0002093953,0.0004328126,0.03759686,0.00009388337,0.000002311789,0.6902862,0.007137292,0.04816724],"study_design_scores_gemma":[0.0001736979,0.000003876635,0.0162904,0.0009602044,0.000004678161,0.00002479125,0.002562513,0.000008408444,0.00004806299,0.001438965,0.9783884,0.00009604838],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9282802,0.02546328,0.001962107,0.01342123,0.0005739893,0.001661486,0.00001336562,0.00001934507,0.02860502],"genre_scores_gemma":[0.9829534,0.005347481,0.001119867,0.001045249,0.00005182254,0.00017067,0.000009560484,0.00000928857,0.009292693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9712511,"threshold_uncertainty_score":0.3528084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03836162095672643,"score_gpt":0.3531330872196123,"score_spread":0.3147714662628859,"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."}}