{"id":"W2943381033","doi":"10.31235/osf.io/qbyzj","title":"Open Smart Cities in Canada: Assessment Report","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Community Development and Social Impact","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Smart city; Smart grid; Corporate governance; Electricity; Geography; Environmental planning; Business; Engineering; Computer security; Computer science; Internet of Things; Finance","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":[0.004365991,0.001610874,0.0008225662,0.0116948,0.004679661,0.005634421,0.002326813,0.001072083,0.01001535],"category_scores_gemma":[0.008721388,0.0007272318,0.001075272,0.02740679,0.0009659892,0.001948128,0.003796747,0.001523548,0.00259105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1269196,"about_ca_system_score_gemma":0.3046035,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.998417,"about_ca_topic_score_gemma":0.9984657,"domain_scores_codex":[0.987118,0.0003707092,0.0003387144,0.0004261621,0.01001398,0.00173235],"domain_scores_gemma":[0.9667451,0.0004434537,0.000749901,0.0003656019,0.02918931,0.00250655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002202872,0.0002350245,0.07144325,0.001375617,0.0002295213,0.0003537952,0.002005179,0.007880399,0.0002835477,0.01741037,0.7785319,0.1200311],"study_design_scores_gemma":[0.0000667031,0.00008123399,0.197345,0.0008557634,0.0001813692,0.0001060294,0.003807466,0.005661834,0.0007022112,0.002160759,0.7888668,0.0001647233],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.05418964,0.009453948,0.004067213,0.01742594,0.0005773623,0.001860693,0.755867,0.001014812,0.1555434],"genre_scores_gemma":[0.3110271,0.02310131,0.01665718,0.002794262,0.0002795841,0.001925583,0.4717758,0.0005531264,0.171886],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1269196,"threshold_uncertainty_score":0.9208701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1205525152937328,"score_gpt":0.3079570202933893,"score_spread":0.1874045049996565,"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."}}