{"id":"W3048728615","doi":"10.3968/11768","title":"Analysis of Legislative Proposals of China’s Comprehensive Transportation Law","year":2020,"lang":"en","type":"article","venue":"Higher education of social science","topic":"Urban Transport Systems Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislation; Legislature; China; Field (mathematics); Political science; Law; Business; Law and economics; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.02043647,0.0005111112,0.0005891341,0.004807742,0.005610574,0.006087776,0.002192964,0.002718767,0.007359187],"category_scores_gemma":[0.01961756,0.0006413311,0.001133131,0.00350762,0.003750131,0.003459768,0.002207197,0.003153993,0.0004600936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01242368,"about_ca_system_score_gemma":0.0314948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04700597,"about_ca_topic_score_gemma":0.03812428,"domain_scores_codex":[0.9852344,0.003695432,0.001042314,0.001326481,0.006148314,0.002552983],"domain_scores_gemma":[0.986989,0.006143055,0.001105895,0.0007587671,0.004596414,0.0004068166],"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":[0.00005247435,0.00008745212,0.009697166,0.0002033842,0.00003813075,0.0005769425,0.00632205,0.00249148,0.0008761144,0.9531703,0.01074388,0.01574047],"study_design_scores_gemma":[0.0003370868,0.0005846699,0.1485008,0.001701342,0.0008880292,0.0006356014,0.02910605,0.06329669,0.007712213,0.249563,0.4971816,0.0004928266],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5905764,0.001786924,0.01494474,0.02063559,0.0006266477,0.001470281,0.001241663,0.0001678765,0.3685499],"genre_scores_gemma":[0.9493276,0.001195867,0.007695402,0.003350355,0.0002167785,0.0009498527,0.000855934,0.00004047293,0.03636768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04700597,"threshold_uncertainty_score":0.1080797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01831235891100286,"score_gpt":0.267153183283478,"score_spread":0.2488408243724751,"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."}}