{"id":"W238241649","doi":"10.26687/archnet-ijar.v7i1.135","title":"BOOK REVIEW: PRELIMINARY REFLECTIONS ON ‘ENHANCING BUILDING PEFROMANCE’","year":2013,"lang":"en","type":"article","venue":"International Journal of Architectural Research: Archnet-IJAR","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Watson; Architecture; Field (mathematics); Value (mathematics); Key (lock); Engineering; Management; Library science; Sociology; Engineering ethics; Architectural engineering; Computer science; Visual arts; Art; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003431577,0.0004299195,0.0007333929,0.001787396,0.001036698,0.006083219,0.001042252,0.002150596,0.02078196],"category_scores_gemma":[0.01151012,0.0003021983,0.0004277976,0.004725058,0.001615218,0.005818194,0.001309498,0.003591525,0.007858287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003210413,"about_ca_system_score_gemma":0.004505626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007369518,"about_ca_topic_score_gemma":0.02014803,"domain_scores_codex":[0.9975603,0.0007794077,0.0001192213,0.0001942606,0.001229595,0.0001171157],"domain_scores_gemma":[0.9940911,0.003493994,0.0001795204,0.0001110522,0.001925313,0.0001989822],"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":[0.0000182175,0.00002748904,0.00006921298,0.001877181,0.000009743941,0.00009199342,0.001538473,0.0001022482,0.0002398978,0.01736614,0.8215178,0.1571416],"study_design_scores_gemma":[0.000001535937,0.00001080975,0.0001525617,0.0005951877,0.000003148522,0.00007946806,0.0003581025,0.00001221752,0.00004064049,0.0006252811,0.9981171,0.000003965094],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001853122,0.7093136,0.001926154,0.1496048,0.0205942,0.0001122282,0.0002353793,0.00009477588,0.1162658],"genre_scores_gemma":[0.01640446,0.6702371,0.003745817,0.07387545,0.009493367,0.0001891074,0.0004235154,0.000245935,0.2253852],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02078196,"threshold_uncertainty_score":0.06952262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04442803685485313,"score_gpt":0.3805635107598025,"score_spread":0.3361354739049494,"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."}}