{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008169541,0.00007674066,0.0003383243,0.0001808887,0.00004420325,0.000005262084,0.0001735112,0.0000355597,0.000164931],"category_scores_gemma":[0.000002852936,0.00007833327,0.0001376145,0.00288626,0.000303225,0.0002009335,0.000002359164,0.00004299698,0.000001100544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003495512,"about_ca_system_score_gemma":0.0001145107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008863251,"about_ca_topic_score_gemma":0.00003395608,"domain_scores_codex":[0.9989812,0.00001484621,0.0003952577,0.0001423113,0.0003725865,0.00009374807],"domain_scores_gemma":[0.9993169,0.00001243372,0.0001988506,0.00008949973,0.0003294692,0.00005279298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001949395,0.000221954,0.04475058,0.0006220482,0.001233131,3.049895e-7,0.09816018,0.01276448,0.534722,0.3067181,0.0002391301,0.0005486799],"study_design_scores_gemma":[0.00007514719,0.00002633679,0.9759009,0.00001471242,0.0005616242,1.296311e-8,0.000715837,0.0008207832,0.02081134,0.0000583327,0.000918027,0.00009695419],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9714271,0.0001367932,0.000598617,0.0001656724,0.0001895749,0.0001751202,0.00006821814,0.00003687178,0.02720202],"genre_scores_gemma":[0.9995797,0.000002957837,0.000262102,0.00002093978,0.00003463418,0.000005474095,0.00002259794,0.000006065682,0.00006551262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9311503,"threshold_uncertainty_score":0.3194338,"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."}}