{"id":"W3175452708","doi":"10.3390/encyclopedia1020039","title":"SEM-PLS Approach to Green Building","year":2021,"lang":"en","type":"article","venue":"Encyclopedia","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Greenhouse gas; Structural equation modeling; Energy consumption; Natural resource; Environmental economics; Architectural engineering; Built environment; Efficient energy use; Sustainable design; Environmental resource management; Civil engineering; Environmental science; Sustainability; Computer science; Engineering; Ecology; Economics; Machine learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001220384,0.0001538349,0.0001633325,0.00008156081,0.00005524901,0.00005308075,0.0001560618,0.00006058327,0.000082872],"category_scores_gemma":[0.00003746436,0.0001651923,0.00005067157,0.0004067403,0.000007462611,0.00009691837,0.00006766256,0.0001445339,0.00007518467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001077686,"about_ca_system_score_gemma":0.00005908704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001621239,"about_ca_topic_score_gemma":0.000001812877,"domain_scores_codex":[0.9990301,0.00002349085,0.0001602934,0.000240165,0.0001783867,0.0003675431],"domain_scores_gemma":[0.9994766,0.00003803907,0.00001054021,0.0002716908,0.00004713797,0.0001559875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002331686,0.0005664511,0.01075364,0.001411774,0.0005023209,0.001044644,0.007270379,0.2275984,0.06353804,0.06391887,0.3232415,0.3001307],"study_design_scores_gemma":[0.000494992,0.00003389038,0.005016937,0.00006535033,0.00004587627,0.00005460391,0.001278477,0.0125576,0.01069028,0.00248971,0.9663656,0.0009067116],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1977289,0.001086649,0.2170015,0.0002015167,0.001009613,0.0003144633,0.000007531632,0.000851722,0.5817981],"genre_scores_gemma":[0.8928442,0.0002393763,0.085182,0.000423273,0.0009873291,0.0001343318,0.00002425154,0.000118635,0.02004663],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6951152,"threshold_uncertainty_score":0.6736345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009677307565089851,"score_gpt":0.2294628789566723,"score_spread":0.2197855713915824,"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."}}