{"id":"W4392179569","doi":"10.1016/j.eiar.2024.107465","title":"Automating building environmental assessment: A systematic review and future research directions","year":2024,"lang":"en","type":"review","venue":"Environmental Impact Assessment Review","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"Research Grants Council, University Grants Committee","keywords":"Building information modeling; Cloud computing; Process (computing); Systematic review; Computer science; Data science; Automation; Sustainability; Process management; Engineering; Systems engineering","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":[0.01647386,0.0017818,0.006532541,0.01023184,0.0006887564,0.004671175,0.002468699,0.003144151,0.005102962],"category_scores_gemma":[0.04705201,0.001058773,0.00673742,0.01101294,0.001273178,0.004650676,0.002053521,0.002028418,0.0007395701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00363538,"about_ca_system_score_gemma":0.0242997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01534809,"about_ca_topic_score_gemma":0.05872346,"domain_scores_codex":[0.991183,0.002825819,0.00286189,0.0007275915,0.002099086,0.0003026111],"domain_scores_gemma":[0.9579225,0.03001948,0.005029832,0.0007451479,0.005871448,0.0004115086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001011364,0.00004661852,0.000473204,0.8409585,0.003242695,0.00008189806,0.0002320289,0.0002304963,0.0002923938,0.0006883029,0.00416491,0.1494878],"study_design_scores_gemma":[0.0001481596,0.0001657439,0.002664101,0.8824475,0.03019862,0.0003038528,0.0006721721,0.0002110868,0.0002374215,0.001186509,0.08169677,0.00006794759],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001851613,0.9988974,0.0001887741,0.0002529919,0.000125531,0.00009041867,0.00009402744,0.000005502634,0.0001601263],"genre_scores_gemma":[0.002135362,0.9961566,0.0009662508,0.0004393017,0.00005472894,0.0001015828,0.00006802545,0.000003497463,0.00007469852],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01647386,"threshold_uncertainty_score":0.08712316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02769811440059769,"score_gpt":0.4049360206293405,"score_spread":0.3772379062287428,"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."}}