{"id":"W2137067883","doi":"","title":"Financing public transport: case studies of international and Australian cities","year":2013,"lang":"en","type":"article","venue":"Transport Research Forum","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public transport; Business; Government (linguistics); Public sector; Corporate governance; Negotiation; Subsidy; Economic growth; Finance; Economics; Political science; Economy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005352481,0.0006389529,0.00052049,0.003917041,0.007128745,0.005828989,0.002495047,0.002760137,0.004302819],"category_scores_gemma":[0.01069136,0.0004964364,0.0009349791,0.01027148,0.00505888,0.003822805,0.006627314,0.002494435,0.0003498836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0220905,"about_ca_system_score_gemma":0.007894654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2147984,"about_ca_topic_score_gemma":0.2735783,"domain_scores_codex":[0.9942331,0.003374365,0.00019722,0.0002228847,0.0005917919,0.001380651],"domain_scores_gemma":[0.9931172,0.003646232,0.0007871985,0.0003981795,0.0009064567,0.001144675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0008720548,0.00427225,0.1922229,0.002140747,0.0003094476,0.02619273,0.3132378,0.03525269,0.0009799335,0.3344051,0.02427647,0.0658379],"study_design_scores_gemma":[0.0002939501,0.0009324849,0.09927811,0.0009721239,0.0001955305,0.002778193,0.7389002,0.01581081,0.001050728,0.01073542,0.1288971,0.0001553947],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9464996,0.0007511447,0.000920542,0.001807086,0.00002478348,0.0003119487,0.0002553726,0.00001611831,0.04941336],"genre_scores_gemma":[0.9911488,0.00124633,0.0010057,0.0001708914,0.00001619963,0.0002300741,0.00020303,0.00001269684,0.005966368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2147984,"threshold_uncertainty_score":0.4270962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1633961296710875,"score_gpt":0.4281141235402344,"score_spread":0.2647179938691469,"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."}}