{"id":"W3113601839","doi":"","title":"A History lesson on the future of cities","year":2020,"lang":"en","type":"article","venue":"Journal of Professional Communication","topic":"Big Data Technologies and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Niagara Health System","funders":"","keywords":"Hacker; Smart city; Big data; Key (lock); Stakeholder; Public relations; Utopia; Townsend; Data collection; Sociology; Engineering ethics; Political science; Internet of Things; Engineering; Internet privacy; Social science; Computer science; Computer security; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001464264,0.0007286376,0.0005362314,0.001186949,0.004074798,0.01286547,0.001144652,0.003411478,0.01648439],"category_scores_gemma":[0.003110033,0.0004188931,0.0005203169,0.001954235,0.007024599,0.01406157,0.004059646,0.008061728,0.004783161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005528625,"about_ca_system_score_gemma":0.00680015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008761375,"about_ca_topic_score_gemma":0.02130835,"domain_scores_codex":[0.9988034,0.0004732807,0.00004126906,0.0001409316,0.0003691752,0.000171908],"domain_scores_gemma":[0.9983367,0.0007975035,0.00009138563,0.00009808315,0.0003861517,0.0002901162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000146875,0.00001664661,0.0002459635,0.0003734225,0.000009545113,0.0001171108,0.003116743,0.0003410114,0.00007693122,0.3529546,0.5915462,0.0511871],"study_design_scores_gemma":[0.000002307782,0.000006362864,0.00007374321,0.0003579726,0.00000200978,0.00004125742,0.001914768,0.00003751247,0.00003220426,0.02721596,0.9703095,0.000006307853],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002153117,0.2068822,0.00483247,0.5475645,0.03963646,0.00003551857,0.0001836475,0.0002472126,0.1984649],"genre_scores_gemma":[0.09864705,0.359975,0.005752074,0.2031775,0.03137294,0.0001633896,0.0004001004,0.0005958116,0.2999161],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01648439,"threshold_uncertainty_score":0.05514586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4193229423197624,"score_gpt":0.4171300552817399,"score_spread":0.002192887038022451,"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."}}