{"id":"W3212154571","doi":"10.32920/ryerson.14657250.v1","title":"Propelling employee led Innovation in public transit agencies","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Agency (philosophy); Documentation; Transit (satellite); Business; Public relations; Public transport; Process (computing); Knowledge management; Process management; Engineering; Transport engineering; Political science; Sociology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.02626265,0.0004251589,0.0003759832,0.002454026,0.005158255,0.01077147,0.002436622,0.002619767,0.003179564],"category_scores_gemma":[0.02843618,0.0004792525,0.0008714354,0.001793372,0.007957096,0.00515664,0.009105924,0.002809068,0.0006128066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007702558,"about_ca_system_score_gemma":0.01569456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003428638,"about_ca_topic_score_gemma":0.004999425,"domain_scores_codex":[0.9689494,0.02138341,0.0007369294,0.001526704,0.004251446,0.003151976],"domain_scores_gemma":[0.9615657,0.02583729,0.002290127,0.004634288,0.003570883,0.002101712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002758197,0.002013906,0.02249991,0.001245657,0.0001299375,0.002375916,0.2281841,0.01169227,0.006877026,0.3117048,0.005254223,0.4077466],"study_design_scores_gemma":[0.0004448508,0.003230156,0.01610418,0.002118743,0.0001444161,0.001540059,0.3445785,0.03082455,0.01421988,0.2057546,0.3808164,0.0002237704],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6998009,0.001089083,0.1766728,0.0116787,0.00018828,0.001712482,0.00005760473,0.0004389952,0.1083612],"genre_scores_gemma":[0.9476483,0.000481299,0.04538877,0.0003161443,0.000040421,0.0004458247,0.00003248154,0.00004568154,0.005600939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02626265,"threshold_uncertainty_score":0.1388919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.106132778497868,"score_gpt":0.3293897824500834,"score_spread":0.2232570039522154,"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."}}