{"id":"W2219949789","doi":"","title":"From Metro and Light Rail to Trains and Trams: Exploring Sydney, Australia’s Expansive Public Transit Initiatives: Part One of Two","year":2015,"lang":"en","type":"article","venue":"ITE journal","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Expansive; Train; Executive director; Public transport; Government (linguistics); Variety (cybernetics); Public administration; Political science; Management; Engineering; Transport engineering; Geography; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003558584,0.0001713489,0.0003543173,0.000323029,0.0000978134,0.0003182791,0.000132973,0.00004372306,0.0001573273],"category_scores_gemma":[0.00004214739,0.0001601398,0.00006555331,0.0001682888,0.00006245087,0.002777215,0.00002621954,0.0001791801,0.00001780736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000270463,"about_ca_system_score_gemma":0.00003070935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006107157,"about_ca_topic_score_gemma":0.0005514937,"domain_scores_codex":[0.9989231,0.00001189434,0.0004157248,0.0001826607,0.0001618539,0.00030478],"domain_scores_gemma":[0.9994479,0.00002738833,0.0001917924,0.00009620401,0.000111642,0.0001250796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001208329,0.001111619,0.6907679,0.0007019081,0.002724534,0.0003074472,0.1649502,0.0004966419,0.02334482,0.02021892,0.02390122,0.07026639],"study_design_scores_gemma":[0.01153632,0.0002214499,0.6672719,0.0008384131,0.0007313934,0.0000515416,0.05832415,0.0002126302,0.002929955,0.01644657,0.2399615,0.001474157],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930529,0.0002197735,0.0003271278,0.004332676,0.0003377624,0.00009881413,0.00002301277,0.00002425751,0.001583698],"genre_scores_gemma":[0.9970762,0.00007278353,0.000342563,0.0006282258,0.0017863,0.000008166108,0.000009148682,0.00001923099,0.00005739644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2160603,"threshold_uncertainty_score":0.6530312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.213528454983194,"score_gpt":0.2806495283532882,"score_spread":0.06712107337009424,"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."}}