{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002105778,0.00003864635,0.00003544835,0.00001233756,0.00002787892,0.00001414679,0.0001076311,0.0000281001,0.0002447528],"category_scores_gemma":[0.000006131665,0.0000233536,0.00001833317,0.00009201159,0.00001482507,0.00001407259,0.00003681689,0.00004657455,0.0002276755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005049084,"about_ca_system_score_gemma":9.231219e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001090488,"about_ca_topic_score_gemma":0.0000675945,"domain_scores_codex":[0.9997849,0.000001597985,0.00003634955,0.00004078099,0.00003841286,0.00009789637],"domain_scores_gemma":[0.9998171,0.00003635631,0.000001872439,0.0001357795,0.000002144145,0.000006685674],"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":[6.18187e-7,0.00000157501,0.003248757,0.000004240716,0.00004866407,0.00001144831,0.0002608207,0.006018149,0.002035855,0.02593345,0.9426837,0.01975275],"study_design_scores_gemma":[0.0002455253,0.00001287335,0.07378138,0.00001030316,0.00001061068,0.000001343327,0.003462158,0.113207,0.02462102,0.01628218,0.7680588,0.0003068446],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.950855,0.0001702457,0.0002912533,0.001224441,0.0004021146,0.0000346993,0.00001443642,0.003695268,0.04331256],"genre_scores_gemma":[0.9965717,0.00016621,0.0001737932,0.00008052498,0.0001078643,0.00001119744,0.000007806006,0.00001033271,0.002870627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1746249,"threshold_uncertainty_score":0.2926384,"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."}}