{"id":"W4313837034","doi":"10.24908/cpp-apc.v2022i1.15783","title":"Not In Service","year":2023,"lang":"en","type":"article","venue":"Canadian Planning and Policy / Aménagement et politique au Canada","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Selkirk College","funders":"Infrastructure Canada; Social Sciences and Humanities Research Council of Canada","keywords":"Typology; Business; Jurisdiction; Transit (satellite); Environmental planning; Service (business); Revenue; Public transport; Transport engineering; Marketing; Geography; Political science; Finance; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006167243,0.0001306254,0.0001508119,0.0004112801,0.0003840657,0.00008182883,0.0002302372,0.00007862417,0.00005277207],"category_scores_gemma":[0.0001165417,0.0001519203,0.00001853067,0.0009532401,0.00007208132,0.0001616893,0.00002171754,0.000171044,0.000007895578],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001302673,"about_ca_system_score_gemma":0.01236426,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999587,"about_ca_topic_score_gemma":0.9999927,"domain_scores_codex":[0.9982503,0.0001163501,0.0001965048,0.0002553425,0.000229429,0.0009520809],"domain_scores_gemma":[0.9989083,0.0001138131,0.00003889287,0.0001592977,0.00003669677,0.0007430339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005963102,0.00000523264,0.8071936,0.00008236848,0.00001718334,0.0003524608,0.02226513,0.0001451149,0.000003513873,0.1331407,0.03614337,0.0006453218],"study_design_scores_gemma":[0.000123801,0.000003857454,0.6373422,0.00004527838,0.000003697426,2.972159e-7,0.003226789,0.00002609417,0.000005350893,0.0007590799,0.3583081,0.0001554694],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7886989,0.00002733772,7.817952e-7,0.06959274,0.0001760463,0.0001696174,0.0001797819,0.00005292048,0.1411019],"genre_scores_gemma":[0.9745417,0.00002281683,0.000005787259,0.02216339,0.0002976699,0.00001887192,0.0000749202,0.00001273324,0.002862134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3221647,"threshold_uncertainty_score":0.9932347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03260788247226105,"score_gpt":0.3250464225782493,"score_spread":0.2924385401059883,"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."}}