{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005073934,0.0007941498,0.000574215,0.0008873483,0.0003623264,0.001476324,0.002002212,0.001409063,0.002637693],"category_scores_gemma":[0.0008504947,0.0004510835,0.0009254691,0.0008820972,0.0005901693,0.001797937,0.001421918,0.00181403,0.001023763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001212972,"about_ca_system_score_gemma":0.001042468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01297933,"about_ca_topic_score_gemma":0.0216732,"domain_scores_codex":[0.9997975,0.00003894765,0.00001049395,0.00005930838,0.00005276486,0.00004100078],"domain_scores_gemma":[0.9998777,0.00002991208,0.00001629331,0.00002284415,0.00003532985,0.00001796299],"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":[0.0001009555,0.0001877925,0.001888435,0.0002052942,0.0001470222,0.0001619389,0.0001431777,0.5507789,0.005663815,0.07164685,0.01733243,0.3517434],"study_design_scores_gemma":[0.00000283848,0.000008885631,0.00009468097,0.000009797985,0.000004272086,0.00001043043,0.000007185579,0.9867325,0.0005791381,0.01031759,0.002227268,0.000005422274],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002931408,0.0002879025,0.9929096,0.00033692,0.00004360649,0.00005039316,0.0002623388,0.001656863,0.001520959],"genre_scores_gemma":[0.1965763,0.001203709,0.7909425,0.0005302295,0.000107364,0.0003688831,0.002024923,0.0003380187,0.007908],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01297933,"threshold_uncertainty_score":0.02580756,"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."}}