{"id":"W7161993769","doi":"10.82308/39334","title":"Putting Canadian passenger rail back on track: A multiple streams framework analysis of high-frequency rail","year":2021,"lang":"en","type":"dissertation","venue":"","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rail transportation; Transportation infrastructure; Rail network; Plank","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":[0.001562505,0.0005988768,0.0005930425,0.001859638,0.001480078,0.004855742,0.00154705,0.001326857,0.007110786],"category_scores_gemma":[0.004429505,0.0003378851,0.001078086,0.002582685,0.001439897,0.001648502,0.001482906,0.001647315,0.0003779937],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01871527,"about_ca_system_score_gemma":0.02085817,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9255745,"about_ca_topic_score_gemma":0.899491,"domain_scores_codex":[0.9991393,0.0002024727,0.00001915163,0.0001726572,0.0002076893,0.0002586103],"domain_scores_gemma":[0.9984608,0.0005469258,0.0001879886,0.00006206693,0.0005084554,0.0002337922],"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":[0.0002247851,0.0001557963,0.1542022,0.0002527792,0.0004338987,0.001213063,0.006670194,0.3598804,0.001246206,0.4154675,0.01248747,0.0477658],"study_design_scores_gemma":[0.00003681014,0.0000777981,0.1244372,0.0002035519,0.0002476395,0.00009023695,0.0112898,0.7722029,0.0004233282,0.05992215,0.03094253,0.0001260061],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7986177,0.002650433,0.1028791,0.01350998,0.000221437,0.0003187334,0.00522805,0.0002048805,0.0763697],"genre_scores_gemma":[0.973848,0.0008539101,0.009557646,0.000191686,0.00004725159,0.00007109768,0.0009061436,0.00003887711,0.0144854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9812847,"threshold_uncertainty_score":0.1497275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01321178694828299,"score_gpt":0.2157692759380671,"score_spread":0.2025574889897841,"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."}}