{"id":"W4389246046","doi":"10.1016/j.cosust.2023.101383","title":"Challenges and opportunities of Internet-of-Things in occupant-centric building operations: towards a life cycle assessment framework","year":2023,"lang":"en","type":"article","venue":"Current Opinion in Environmental Sustainability","topic":"Green IT and Sustainability","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute; University of British Columbia","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Liverpool City Council; Det Obelske Familiefond; UK Research and Innovation; Villum Fonden","keywords":"Software deployment; Internet of Things; Occupancy; Life-cycle assessment; The Internet; Building automation; Environmental impact assessment; Architectural engineering; Engineering; Risk analysis (engineering); Computer science; Environmental economics; Business; Computer security; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008852839,0.0002136621,0.0003777636,0.0003342666,0.00002755716,0.00001411162,0.0001800753,0.0001211379,0.00002882377],"category_scores_gemma":[0.000255615,0.0002302009,0.00006845516,0.000235894,0.0002356327,0.0003203564,0.0002713639,0.0003429702,5.302971e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008660578,"about_ca_system_score_gemma":0.00009813986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007928009,"about_ca_topic_score_gemma":0.000003861527,"domain_scores_codex":[0.998206,0.0001508191,0.0006723972,0.0003450151,0.0002633397,0.0003624021],"domain_scores_gemma":[0.9993694,0.0001405479,0.0000569398,0.0003028384,0.00002427494,0.0001059668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00005820021,0.0008638172,0.382263,0.00922942,0.00003670343,0.000005848095,0.0158662,0.02529168,0.00003987822,0.01410736,0.00002735064,0.5522105],"study_design_scores_gemma":[0.0005022429,0.000081156,0.8678268,0.00026259,0.000005511433,8.657845e-7,0.0160214,0.1022051,0.00004362027,0.01228964,0.0005141828,0.0002469113],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885475,0.007987958,0.001893137,0.0002458783,0.0005232787,0.000666335,0.00001101966,0.00006396282,0.00006094894],"genre_scores_gemma":[0.9881114,0.01138797,0.0003113984,0.000002998258,0.00002363325,0.0001165659,0.00002442405,0.00001850004,0.000003082467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5519636,"threshold_uncertainty_score":0.9387318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05170085328896652,"score_gpt":0.3205679162467625,"score_spread":0.2688670629577959,"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."}}