{"id":"W4379177106","doi":"10.1007/978-3-031-31746-0_3","title":"Interpreting the Smart City Through Topic Modeling","year":2023,"lang":"en","type":"book-chapter","venue":"The urban book series","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Smart city; Context (archaeology); Indigenous; Geography; Data science; Computer science; Regional science; Architectural engineering; Engineering; World Wide Web; Internet of Things","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":[0.0009994422,0.0008221176,0.0004478329,0.001646417,0.0007395285,0.005540795,0.0008952962,0.0008774829,0.02193687],"category_scores_gemma":[0.004525037,0.0006959984,0.001014015,0.00304113,0.0008280969,0.008170065,0.001508518,0.001726928,0.00530629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001322694,"about_ca_system_score_gemma":0.0009032062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01220605,"about_ca_topic_score_gemma":0.01611818,"domain_scores_codex":[0.9994867,0.0002692423,0.00002376419,0.0001068308,0.00007813073,0.00003538116],"domain_scores_gemma":[0.9983506,0.001333259,0.00005670193,0.0001204586,0.0001022852,0.00003678446],"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":[0.00009272207,0.00006863976,0.003734076,0.0004482408,0.0001156985,0.0005021783,0.007300946,0.02850344,0.001773313,0.5820834,0.1144105,0.2609668],"study_design_scores_gemma":[0.00001766978,0.00001434413,0.001722246,0.0001965394,0.00009566177,0.0002671666,0.003486739,0.1581359,0.001954992,0.4819162,0.3521506,0.0000417175],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01309849,0.004342764,0.8257561,0.006196564,0.0005623436,0.0001006321,0.004541613,0.005363705,0.1400378],"genre_scores_gemma":[0.3856256,0.008218048,0.4858412,0.001107531,0.0007903733,0.0003152599,0.01355218,0.004614819,0.09993504],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02193687,"threshold_uncertainty_score":0.07338613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02662356521149939,"score_gpt":0.2019519950630221,"score_spread":0.1753284298515227,"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."}}