{"id":"W2527627253","doi":"10.24102/ijes.v5i3.706","title":"Smart Cities and Sustainability: A Set of Vertical Solutions for Managing Resources","year":2016,"lang":"en","type":"article","venue":"International Journal of Environment and Sustainability","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sustainability; Set (abstract data type); Business; Urban sustainability; Environmental economics; Environmental resource management; Environmental planning; Computer science; Environmental science; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003777619,0.00008777148,0.0001582651,0.0001146456,0.00004595936,0.00002063109,0.0001267124,0.00004986452,0.00001611918],"category_scores_gemma":[0.0003549823,0.00006362009,0.00006622829,0.00001954279,0.0003852631,0.0001659554,0.0001197663,0.00006475189,7.787211e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003004272,"about_ca_system_score_gemma":0.00002221981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008369602,"about_ca_topic_score_gemma":0.000002638464,"domain_scores_codex":[0.9992425,0.00001803876,0.0003028029,0.00009327361,0.0001685865,0.0001747835],"domain_scores_gemma":[0.999402,0.0002613118,0.00004683722,0.00009377013,0.0001537647,0.00004234942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009457663,0.0002056763,0.6658107,0.001134948,0.0009928527,0.00005863593,0.004316883,0.003554109,0.001109658,0.06718991,0.001197551,0.2534833],"study_design_scores_gemma":[0.003089279,0.0007934883,0.2453129,0.0001576751,0.0001384418,0.0001042237,0.02919918,0.004457559,0.002077367,0.6213213,0.09288435,0.0004641526],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9701476,0.0005980865,0.02220697,0.006724556,0.0001034185,0.0001274144,0.00001758867,0.0000188444,0.00005553436],"genre_scores_gemma":[0.9991164,0.0005490025,0.0001891384,0.00001051943,0.00005667718,0.000009418952,5.843047e-7,0.000006939659,0.00006129251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5541314,"threshold_uncertainty_score":0.2594352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009432824635570585,"score_gpt":0.2217144675302342,"score_spread":0.2122816428946637,"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."}}