{"id":"W4282548290","doi":"10.3390/s22124390","title":"The Smart in Smart Cities: A Framework for Image Classification Using Deep Learning","year":2022,"lang":"en","type":"article","venue":"Sensors","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Algonquin College; Concordia University","funders":"Zayed University","keywords":"Smart city; Computer science; Process (computing); Deep learning; Zoning; Population; Computer security; Data science; Risk analysis (engineering); Artificial intelligence; Engineering; Internet of Things; Civil engineering","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":[0.0002106498,0.00009440712,0.00009979642,0.00008968012,0.000419658,0.0000493464,0.0001471065,0.000058295,0.00002537985],"category_scores_gemma":[0.0001977902,0.0000881392,0.00005079195,0.0002328158,0.00005706339,0.0000396534,0.00005544585,0.0003967098,0.000003571865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001541478,"about_ca_system_score_gemma":0.000007991094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002989793,"about_ca_topic_score_gemma":0.0000343994,"domain_scores_codex":[0.9993104,0.00003272614,0.0001617692,0.0001209455,0.0001050114,0.0002691791],"domain_scores_gemma":[0.9993901,0.000363324,0.00003186563,0.0001842538,0.00001622619,0.00001425195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009941154,0.00004215897,0.0227924,0.0002002826,0.000144772,0.00003076665,0.008294475,0.8180074,0.00575101,0.09058822,0.001357366,0.0526917],"study_design_scores_gemma":[0.0002001344,0.00004562524,0.00327012,0.00002019645,0.00001013785,0.00001084825,0.04190402,0.8645993,0.0006195086,0.0111657,0.07792653,0.0002278353],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886281,0.0003351476,0.008625615,0.0002916913,0.0005171564,0.0002264173,0.000006116055,0.000459254,0.000910466],"genre_scores_gemma":[0.9934738,0.00007844224,0.006077984,0.00002052653,0.00004852572,0.0001222033,0.000006162399,0.00003585724,0.0001365388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07942252,"threshold_uncertainty_score":0.3594213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02314126222685012,"score_gpt":0.2449083553574454,"score_spread":0.2217670931305953,"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."}}