{"id":"W2966665813","doi":"10.3390/su11154193","title":"Is Smart Housing a Good Deal? An Answer Based on Monte Carlo Net Present Value Analysis","year":2019,"lang":"en","type":"article","venue":"Sustainability","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Profitability index; Net present value; Robustness (evolution); Environmental economics; Monte Carlo method; Smart city; Computer science; Internet of Things; Engineering; Risk analysis (engineering); Architectural engineering; Business; Operations research; Economics; Microeconomics; Mathematics; Computer security; Production (economics); Finance","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":[0.0002966628,0.0002307161,0.0003452963,0.0002632424,0.00007670273,0.00007056226,0.0002497148,0.0001652011,0.0001446429],"category_scores_gemma":[0.00007769684,0.0002167982,0.0002205477,0.0007116597,0.00006967414,0.0001602219,0.00006581168,0.0002356814,0.000007888152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006890576,"about_ca_system_score_gemma":0.00008193291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001736646,"about_ca_topic_score_gemma":0.0001881707,"domain_scores_codex":[0.9985434,0.00006306228,0.0002376736,0.0004153007,0.0002530032,0.0004875304],"domain_scores_gemma":[0.9984403,0.00009457399,0.0000321376,0.001155341,0.0001943728,0.00008325661],"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":[0.00002741123,0.00007185354,0.4743067,0.000209201,0.0001589699,0.000009010186,0.0003275068,0.5213413,0.000008611863,0.000389005,0.0003327313,0.002817688],"study_design_scores_gemma":[0.000322686,0.0001807255,0.1811797,0.00000866019,0.0001467317,2.79626e-7,0.001936646,0.8061775,0.0006109609,0.001266996,0.007848013,0.0003211537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957811,0.00007929004,0.0008788954,0.0006469811,0.0001473279,0.0004890268,0.00002725114,0.0008282718,0.001121835],"genre_scores_gemma":[0.999271,0.000003653716,0.0003694903,0.00009937558,0.00004146429,0.00003813541,0.000009112854,0.00003174684,0.0001359709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.293127,"threshold_uncertainty_score":0.8840776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007364567826809108,"score_gpt":0.230766743575955,"score_spread":0.2234021757491459,"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."}}