{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001279403,0.0003837916,0.0005375656,0.0004134937,0.0009614601,0.001202072,0.0009760606,0.0009068876,0.003703171],"category_scores_gemma":[0.004116772,0.0001552942,0.0002767937,0.0005561652,0.0006746999,0.0009079289,0.001516856,0.0006411783,0.0005259499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00075968,"about_ca_system_score_gemma":0.001461163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003230038,"about_ca_topic_score_gemma":0.004326633,"domain_scores_codex":[0.999377,0.000262391,0.00002311684,0.0000824296,0.0001031668,0.0001520011],"domain_scores_gemma":[0.9987618,0.0005218828,0.0001388161,0.0001736171,0.0002212642,0.0001826764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005030202,0.0004062561,0.01231763,0.0002293391,0.0001033744,0.0004861613,0.0008620806,0.6516546,0.007789873,0.06294587,0.04343949,0.2192622],"study_design_scores_gemma":[0.0001325293,0.0001931243,0.002373448,0.00003658603,0.00003392161,0.000245312,0.001668279,0.9356722,0.004309813,0.03657589,0.01873489,0.00002394809],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5389405,0.0006329396,0.3937981,0.007322155,0.0005260647,0.0005050733,0.0004554616,0.004256479,0.05356324],"genre_scores_gemma":[0.9573692,0.0001282705,0.03881658,0.000340904,0.00003069609,0.00006619325,0.0001958393,0.00006116401,0.002991022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003703171,"threshold_uncertainty_score":0.01238835,"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."}}