{"id":"W7019303151","doi":"","title":"Future public transport options for Toowoomba for the next twenty years
\\n","year":2016,"lang":"en","type":"other","venue":"University of Southern Queensland ePrints (University of Southern Queensland)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public transport; Government (linguistics); Population; Public policy; Service (business); Transportation planning","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":[0.0006577721,0.0003248271,0.0001771011,0.0006352427,0.003539482,0.003104903,0.0008328517,0.001889269,0.04581134],"category_scores_gemma":[0.001213612,0.0002271767,0.0005264818,0.001064681,0.0003143447,0.002943276,0.001862661,0.00110521,0.004749627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002942734,"about_ca_system_score_gemma":0.01108855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07002907,"about_ca_topic_score_gemma":0.2882487,"domain_scores_codex":[0.9996593,0.00006472462,0.00001786577,0.00002823058,0.00005874104,0.0001710792],"domain_scores_gemma":[0.9993136,0.00004901871,0.00007014773,0.00001741487,0.0002418377,0.0003079347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004553938,0.0005023727,0.03981696,0.003324253,0.00004636116,0.00638956,0.008578048,0.00137682,0.007256302,0.03013804,0.4830961,0.4190198],"study_design_scores_gemma":[0.00002304208,0.0001423575,0.03228219,0.001464517,0.00002758554,0.0008241356,0.02762978,0.0007819027,0.0004924162,0.002636772,0.9336379,0.00005731031],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.363449,0.03887262,0.005245427,0.2210952,0.006797023,0.0009483442,0.006264486,0.0006149415,0.3567129],"genre_scores_gemma":[0.5016949,0.0326237,0.01809104,0.01465403,0.00047205,0.001210917,0.005428182,0.0001653112,0.42566],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07002907,"threshold_uncertainty_score":0.1532542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02202468784693344,"score_gpt":0.2075738529575273,"score_spread":0.1855491651105939,"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."}}