{"id":"W4383619779","doi":"10.1007/978-3-031-32828-2_6","title":"Current Smart Communities and Cities","year":2023,"lang":"en","type":"book-chapter","venue":"Studies in big data","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Current (fluid); Smart city; Geography; Regional science; Computer science; Engineering; Internet of Things; Computer security; Electrical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0005959433,0.0005292665,0.0003583548,0.001615643,0.004832266,0.009449443,0.0007678787,0.002779405,0.04317391],"category_scores_gemma":[0.001206791,0.0002938033,0.0002089725,0.005183825,0.007923663,0.01355962,0.003248144,0.00328318,0.004103544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005612482,"about_ca_system_score_gemma":0.004302375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01880464,"about_ca_topic_score_gemma":0.05939174,"domain_scores_codex":[0.9994881,0.0001807783,0.00001200309,0.0000701177,0.0001429442,0.0001059162],"domain_scores_gemma":[0.9995726,0.0001521122,0.00003528803,0.00005399019,0.00007414277,0.0001119184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002837259,0.00001083456,0.00008771131,0.00004981466,0.000001050987,0.00001564158,0.002126143,0.00005104284,0.00001587188,0.9158005,0.06491248,0.01692612],"study_design_scores_gemma":[0.000002201805,0.000003273261,0.0002578864,0.0001612245,0.000001193897,0.00002797434,0.00403641,0.0000649401,0.00001926215,0.1626281,0.8327945,0.000003053731],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002760015,0.03336332,0.0009920497,0.03002359,0.001111834,0.00001880416,0.00009573447,0.00003784153,0.9315968],"genre_scores_gemma":[0.1837754,0.07335248,0.001485771,0.01201111,0.002226136,0.0001115802,0.0003293651,0.0001554857,0.7265527],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04317391,"threshold_uncertainty_score":0.1444311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.324472573024553,"score_gpt":0.3239901211053787,"score_spread":0.0004824519191742871,"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."}}