{"id":"W4206271015","doi":"10.22215/etd/2021-14800","title":"Development From Within: An In-Service Public Transit Narrative","year":2021,"lang":"en","type":"dissertation","venue":"","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Usability; Heuristics; Computer science; Visualization; Component (thermodynamics); Public transport; Narrative; User interface; Data science; Human–computer interaction; Engineering; Data mining; Transport engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002063179,0.0004080638,0.0001791002,0.0007128725,0.006467214,0.00518908,0.001088828,0.001184255,0.00736532],"category_scores_gemma":[0.005287911,0.0002507377,0.0001941052,0.0008418166,0.004518679,0.004854413,0.002580866,0.001231422,0.0008388543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008816441,"about_ca_system_score_gemma":0.004659502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08500103,"about_ca_topic_score_gemma":0.1850308,"domain_scores_codex":[0.9986117,0.0008598067,0.00005196731,0.0001373243,0.000185243,0.0001539196],"domain_scores_gemma":[0.9969784,0.001593243,0.0002011053,0.0002417184,0.0005326142,0.0004529716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009703483,0.00006452482,0.008360611,0.0001711982,0.000008006755,0.001555283,0.9166771,0.0006422593,0.003428936,0.03687751,0.01389165,0.01822587],"study_design_scores_gemma":[0.00001162692,0.00006654058,0.004702114,0.0001466471,0.00001944634,0.0005588903,0.5747015,0.002263163,0.003824294,0.004517623,0.4091425,0.0000456504],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8362508,0.0002969656,0.02909229,0.01339961,0.0001987885,0.0004193913,0.001364528,0.0005301663,0.1184474],"genre_scores_gemma":[0.9645398,0.0002085099,0.008749855,0.000336712,0.00001708059,0.00008624748,0.0003612697,0.0001193294,0.02558118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08500103,"threshold_uncertainty_score":0.1690125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04779618691296299,"score_gpt":0.3087122970188007,"score_spread":0.2609161101058377,"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."}}