{"id":"W4400404796","doi":"10.15353/joci.v20i1.5713","title":"Review Essay: Get Smart?!","year":2024,"lang":"en","type":"article","venue":"The Journal of Community Informatics","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":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001228834,0.0000755696,0.0001580598,0.00007069216,0.00009745366,0.0000463979,0.0005450918,0.00003559758,0.000027517],"category_scores_gemma":[0.00007651294,0.00004410033,0.00006721197,0.0001626836,0.00005645239,0.0002777235,0.0000888223,0.001011974,0.00003534842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004194131,"about_ca_system_score_gemma":0.00002502833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004951104,"about_ca_topic_score_gemma":0.00000370161,"domain_scores_codex":[0.999294,0.00005530947,0.0004324162,0.000002192679,0.0001180063,0.00009808189],"domain_scores_gemma":[0.9992261,0.0003331606,0.00006453446,0.0003035577,0.00005180727,0.00002083418],"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":[0.000007597039,0.00002709964,0.00003070328,0.01497439,0.0005091051,0.000003657673,0.07937641,0.005961283,0.00003487272,0.004242513,0.6852389,0.2095935],"study_design_scores_gemma":[0.0001110264,0.0001146615,0.00006810927,0.004814436,0.0001618329,0.0006845829,0.03233309,0.006152043,0.0002880542,0.005080687,0.9500464,0.0001450609],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6594269,0.2653219,0.01560736,0.005310979,0.002107291,0.0002752669,0.00002006735,0.0009655206,0.05096471],"genre_scores_gemma":[0.8783066,0.1202515,0.0003868153,0.0009538619,0.0000500317,0.000001038363,0.000001883853,0.00001392632,0.00003438363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2648076,"threshold_uncertainty_score":0.4396579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02723155305412179,"score_gpt":0.2570751948367786,"score_spread":0.2298436417826568,"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."}}