{"id":"W3113064263","doi":"10.31235/osf.io/dzja9","title":"Open Smart Cities Guide V.1.0","year":2019,"lang":"en","type":"article","venue":"","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Media studies; Political science; The Internet; Sociology; Public administration; Management; World Wide Web; Computer science","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":[0.005274617,0.001914426,0.001245261,0.007098203,0.003885111,0.009617838,0.005014869,0.00242024,0.1804056],"category_scores_gemma":[0.01232037,0.003253195,0.001323706,0.01346071,0.001714793,0.005943339,0.005772535,0.003940994,0.1420736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01791449,"about_ca_system_score_gemma":0.08326501,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8339671,"about_ca_topic_score_gemma":0.9106475,"domain_scores_codex":[0.9971705,0.0003623543,0.0002026573,0.0001768721,0.001500658,0.0005870076],"domain_scores_gemma":[0.9860259,0.001937183,0.0003976695,0.001808892,0.007546741,0.002283661],"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":[0.00002925416,0.00001870207,0.0004331915,0.0001737769,0.000006189555,0.00004266673,0.0003050433,0.0003458717,0.0001401199,0.004466979,0.9680101,0.02602821],"study_design_scores_gemma":[0.00001836016,0.000004072708,0.0007325266,0.0001959141,0.000005507242,0.00003085634,0.0002120142,0.000249005,0.0001213833,0.001698883,0.9966916,0.00004003768],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001477736,0.001869345,0.05603341,0.005660385,0.0009009713,0.001780104,0.4142189,0.130587,0.3874722],"genre_scores_gemma":[0.009707617,0.006165673,0.119988,0.002715881,0.000227944,0.004262827,0.3404908,0.05148713,0.4649541],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8339671,"threshold_uncertainty_score":0.6035167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01361797669538375,"score_gpt":0.2189431908717942,"score_spread":0.2053252141764105,"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."}}