{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001744332,0.000286669,0.0001897333,0.0005681525,0.00822569,0.005664311,0.0006883548,0.001225878,0.004588799],"category_scores_gemma":[0.001819033,0.0003731772,0.0002048314,0.0009901696,0.005615646,0.00419534,0.003833763,0.002629897,0.0003059221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009459455,"about_ca_system_score_gemma":0.01204846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1280835,"about_ca_topic_score_gemma":0.4699736,"domain_scores_codex":[0.9987865,0.0006268168,0.00001874671,0.00006731342,0.0001650231,0.0003356164],"domain_scores_gemma":[0.9988423,0.0002720878,0.0001089677,0.00003959781,0.0001324583,0.0006046546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00009310141,0.0003174654,0.01260211,0.0004207516,0.00001671657,0.001754383,0.8850939,0.0003740792,0.001565719,0.03215838,0.02177423,0.04382922],"study_design_scores_gemma":[0.000006853468,0.0001163948,0.0275768,0.0002596195,0.000007729746,0.0001227968,0.8604793,0.000209017,0.0002860369,0.001805742,0.109108,0.00002158065],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9051229,0.0009071808,0.000666096,0.01215734,0.0001450815,0.0001560566,0.00006064572,0.00001965807,0.08076504],"genre_scores_gemma":[0.9609519,0.001791717,0.001141824,0.001642223,0.00003961866,0.0001219095,0.00004739269,0.00002549753,0.03423797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1280835,"threshold_uncertainty_score":0.2546759,"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."}}