{"id":"W3124163813","doi":"","title":"Open or Closed? Open Licensing of Real-Time Public Sector Transit Data","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Open data; Business; Public transport; Public sector; Transit (satellite); Open government; Transport engineering; Computer science; Economics; Engineering; World Wide Web; Economy","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.03791007,0.000269325,0.0009624757,0.003697547,0.00248286,0.01879473,0.004269976,0.003909236,0.02780399],"category_scores_gemma":[0.2283852,0.0005893335,0.0009929452,0.00524178,0.00650988,0.03087721,0.009565862,0.005416283,0.006484616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003731424,"about_ca_system_score_gemma":0.008663424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00434145,"about_ca_topic_score_gemma":0.002758028,"domain_scores_codex":[0.9596853,0.01264513,0.003820428,0.003562368,0.01538309,0.004903719],"domain_scores_gemma":[0.6888661,0.168611,0.01990347,0.07501666,0.03795246,0.009650208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00135154,0.0007183944,0.04060106,0.0006600668,0.0001277623,0.0007992256,0.007123953,0.004058785,0.005187588,0.4878776,0.06414189,0.3873521],"study_design_scores_gemma":[0.0004576601,0.0006558993,0.03020209,0.001446798,0.000167764,0.001100002,0.01049543,0.03404373,0.01464285,0.5393396,0.3671274,0.0003207154],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3753824,0.003198639,0.1535745,0.05309024,0.002897936,0.001047186,0.004564264,0.004218407,0.4020264],"genre_scores_gemma":[0.952988,0.0007635846,0.00967997,0.003678388,0.001157821,0.0002820219,0.001644676,0.0007517589,0.02905383],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.99573,"threshold_uncertainty_score":0.2004901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3281475856506092,"score_gpt":0.4450416721656421,"score_spread":0.1168940865150329,"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."}}