{"id":"W2999307216","doi":"10.1109/access.2020.2965557","title":"Smart City Response to Homelessness","year":2020,"lang":"en","type":"article","venue":"IEEE Access","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Lakehead University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Computer science; Heuristic; Poverty; Government (linguistics); Smart city; Computer security; Subject (documents); Artificial intelligence; Internet of Things; Economic growth; Economics; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003561098,0.0001374894,0.0002185399,0.000119472,0.00005123197,0.0001958869,0.0007279846,0.00006828865,0.0001142418],"category_scores_gemma":[0.0001829324,0.0001432639,0.00004262239,0.0007095686,0.00001627335,0.0002299908,0.0001064407,0.000192959,0.0006583892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007592182,"about_ca_system_score_gemma":0.00003059717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006566069,"about_ca_topic_score_gemma":0.00003741418,"domain_scores_codex":[0.9987835,0.00009545522,0.0001941901,0.0002378995,0.0003363546,0.0003525497],"domain_scores_gemma":[0.9991484,0.0001636354,0.00001330928,0.0003143952,0.00006029452,0.0003000013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002285473,0.00008510675,0.1944583,0.001248821,0.0003022892,0.0005742732,0.00778805,0.09073461,0.4559104,0.00005462217,0.2260923,0.02046569],"study_design_scores_gemma":[0.001304207,0.0001816738,0.2662361,0.0001643027,0.00001713914,0.00001497178,0.0001662634,0.02749449,0.3366666,0.00004190926,0.3665319,0.001180493],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987357,0.00005177132,0.008303873,0.0006822961,0.0007879814,0.0002795724,0.00001271588,0.0005419709,0.001982769],"genre_scores_gemma":[0.9990515,0.00000327174,0.00006358072,0.0002572456,0.0003669175,0.00006928723,0.000001316556,0.00004787026,0.0001389802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1404396,"threshold_uncertainty_score":0.8462481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06927583414468104,"score_gpt":0.3248963178288629,"score_spread":0.2556204836841818,"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."}}