{"id":"W6962677974","doi":"10.17605/osf.io/qbyzj","title":"Open Smart Cities in Canada: Assessment Report","year":2018,"lang":"en","type":"article","venue":"Open Science Framework","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Smart city; Electricity; Smart grid; Corporate governance; Order (exchange)","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":[0.006090356,0.001407215,0.00076734,0.01069314,0.006257973,0.006261266,0.002471233,0.001100098,0.008346431],"category_scores_gemma":[0.01057712,0.0006812071,0.001163139,0.02349933,0.001188304,0.002156711,0.004211245,0.001498613,0.001914496],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.155604,"about_ca_system_score_gemma":0.3644174,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9985378,"about_ca_topic_score_gemma":0.9986932,"domain_scores_codex":[0.9807096,0.0006339902,0.0004562456,0.0005004821,0.01530767,0.002392013],"domain_scores_gemma":[0.9609224,0.0005486514,0.0007449149,0.0003918916,0.03489707,0.002495067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003260051,0.0004539716,0.1236423,0.002144422,0.0002878993,0.0005926719,0.004427902,0.01255514,0.0005556384,0.03045829,0.6255036,0.1990522],"study_design_scores_gemma":[0.00008202528,0.0001453696,0.2658308,0.001132071,0.0002414214,0.0001410471,0.007991414,0.008108841,0.001196713,0.00286264,0.7120313,0.0002362884],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1164169,0.009893375,0.007183526,0.02522272,0.0006555499,0.004994915,0.4903619,0.001440141,0.3438309],"genre_scores_gemma":[0.5037417,0.02175912,0.02574308,0.003668124,0.0002026512,0.003435305,0.260529,0.0004786609,0.1804423],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.155604,"threshold_uncertainty_score":0.9793797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02619968626166184,"score_gpt":0.3055507488932906,"score_spread":0.2793510626316287,"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."}}