{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002578889,0.0003909678,0.000936013,0.0007672466,0.0004717332,0.002093477,0.001159264,0.001963786,0.006147142],"category_scores_gemma":[0.01931115,0.0003243221,0.0006347159,0.0009238754,0.002081563,0.00437972,0.0006778141,0.001709816,0.0003122474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001442488,"about_ca_system_score_gemma":0.0009808153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003495073,"about_ca_topic_score_gemma":0.002255736,"domain_scores_codex":[0.9990053,0.0005800269,0.00002916891,0.0001073957,0.0002042114,0.00007387828],"domain_scores_gemma":[0.9867186,0.01145345,0.0005832742,0.0003388404,0.0007315839,0.0001741837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008978163,0.00008948296,0.003731742,0.0002816119,0.0001160167,0.0002094413,0.0001476434,0.3073399,0.0003766835,0.6470468,0.008257473,0.03231341],"study_design_scores_gemma":[0.00001326039,0.00003643356,0.0008680004,0.0001249296,0.00002714809,0.00009303342,0.0001630161,0.3139634,0.0002265619,0.6799238,0.004523163,0.00003710251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1823479,0.01290106,0.6512552,0.06818862,0.001161019,0.0001448592,0.0005549221,0.0002068138,0.08323956],"genre_scores_gemma":[0.9491277,0.005170053,0.03750688,0.001618194,0.0005209713,0.000114452,0.0001187184,0.00008132344,0.00574171],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006147142,"threshold_uncertainty_score":0.02056426,"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."}}