{"id":"W4281488618","doi":"10.1186/s40410-022-00161-6","title":"Strategies of visibility in the smart city","year":2022,"lang":"en","type":"article","venue":"City Territory and Architecture","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Malmö Högskola; Svenska Forskningsrådet Formas","keywords":"Visibility; Smart city; Confusion; Architectural engineering; Computer science; Computer security; Internet of Things; Telecommunications; Engineering; Geography; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001821372,0.00008177714,0.0001114781,0.00005761014,0.0001023382,0.00001664106,0.0002064354,0.00003528966,0.00004880734],"category_scores_gemma":[0.000008671296,0.00006154087,0.00003425791,0.00009982418,0.0001222613,0.00003659621,0.00009361331,0.0004028415,8.90152e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001445406,"about_ca_system_score_gemma":0.000009278536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008896764,"about_ca_topic_score_gemma":0.0002217927,"domain_scores_codex":[0.9995142,0.00004889169,0.0001119633,0.0001026064,0.0001012707,0.0001210698],"domain_scores_gemma":[0.9996981,0.0000722893,0.00001423068,0.0002009735,0.000003338676,0.000011082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002071389,0.0006050147,0.5958222,0.001673911,0.0002224315,0.000154637,0.04569827,0.09912305,0.0169129,0.03593061,0.01081007,0.1928397],"study_design_scores_gemma":[0.0007541337,0.0003572654,0.7240116,0.00004050277,0.00002131961,0.00009291821,0.03366799,0.001867811,0.002974075,0.09360666,0.1420999,0.0005057809],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957101,0.0003951481,0.0003887846,0.0002387964,0.0001472273,0.0001006475,0.00003689418,0.0001120656,0.002870346],"genre_scores_gemma":[0.9997754,0.0000106389,0.0001000101,0.00003953819,0.0000319393,0.00002518543,0.000003744026,0.000004675457,0.000008852904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.192334,"threshold_uncertainty_score":0.2509564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01062670244034047,"score_gpt":0.2039438963485619,"score_spread":0.1933171939082214,"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."}}