{"id":"W3036274031","doi":"10.1139/cjce-2020-0077","title":"CSR maturity model for smart city assessment","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"WSP (Canada); University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Maturity (psychological); Capability Maturity Model; Sustainability; Smart city; Key (lock); Population; Process management; Computer science; Engineering; Political science; Sociology; Internet of Things; Computer security; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001039284,0.0001337036,0.0002202505,0.0001450114,0.00004224029,0.00005006029,0.0002240451,0.00008796831,0.0000415871],"category_scores_gemma":[0.00009031162,0.000142086,0.0001107632,0.0001188346,0.00001557237,0.0001413509,0.000009178476,0.0003099355,9.475083e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001591365,"about_ca_system_score_gemma":0.0001872795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005976328,"about_ca_topic_score_gemma":0.007650536,"domain_scores_codex":[0.9992824,0.000002019921,0.0002456811,0.00007094723,0.00008961414,0.0003093298],"domain_scores_gemma":[0.999372,0.00003113147,0.00003423073,0.00009486672,0.00006497568,0.0004027858],"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":[0.000001915722,0.00000145719,0.0006708156,0.0001297112,0.00006548914,0.00002653538,0.000195002,0.9832709,0.0004471968,0.001684427,0.01303322,0.000473329],"study_design_scores_gemma":[0.0002241234,0.00003912161,0.0008066128,0.00004397683,0.000018769,0.00002041432,0.00005107914,0.9751158,0.0003740669,0.0003939428,0.02274292,0.0001691218],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08145619,0.001313633,0.9116783,0.001563576,0.001097685,0.0001799303,0.00008392786,0.0002753377,0.002351373],"genre_scores_gemma":[0.9929878,0.00003050805,0.006660612,0.0000862763,0.0001813255,0.000005625236,0.000001825133,0.00003396734,0.00001208834],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9115316,"threshold_uncertainty_score":0.5794101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02041379500924988,"score_gpt":0.2008582521946294,"score_spread":0.1804444571853795,"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."}}