{"id":"W4399427334","doi":"10.1109/ishc61216.2023.00005","title":"Message from the General Chairs","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","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":[0.003499406,0.001432574,0.001202212,0.0007270763,0.003195132,0.005006067,0.001605441,0.01287724,0.1260724],"category_scores_gemma":[0.01337795,0.0006977677,0.001330243,0.0005926156,0.0009357259,0.003123065,0.002994736,0.01854666,0.1013915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002294723,"about_ca_system_score_gemma":0.006411538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006388173,"about_ca_topic_score_gemma":0.009691652,"domain_scores_codex":[0.9980203,0.0003445128,0.00009830374,0.0003268499,0.0008206065,0.0003895292],"domain_scores_gemma":[0.9917011,0.0006453053,0.0002555664,0.0002203347,0.004314104,0.002863655],"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":[0.00002467515,0.000008604366,0.00004144003,0.00002142627,0.000001626423,0.00002234056,0.00001067016,0.000007429625,0.00003683669,0.0001892255,0.9974653,0.002170394],"study_design_scores_gemma":[0.00002763018,0.00003559182,0.0005003769,0.00007481117,0.000007153903,0.00006919501,0.0001971312,0.00004262372,0.0001031522,0.0003842414,0.9985384,0.00001963675],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0005022215,0.002904723,0.0004922219,0.5470505,0.4279692,0.0001826706,0.0007788619,0.0003825033,0.01973712],"genre_scores_gemma":[0.003745437,0.002379823,0.000684551,0.5941929,0.06913169,0.0003926637,0.0006711556,0.0003232068,0.3284785],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.1260724,"threshold_uncertainty_score":0.4217542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01459259609144328,"score_gpt":0.201039737229744,"score_spread":0.1864471411383007,"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."}}