{"id":"W1992508681","doi":"10.1016/j.scs.2014.04.008","title":"What can we learn from Malay vernacular houses?","year":2014,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Architecture and Cultural Influences","field":"Arts and Humanities","cited_by":58,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Universiti Putra Malaysia; University of Reading","keywords":"Vernacular; Malay; Modernization theory; Value (mathematics); Quality (philosophy); Geography; Architectural engineering; Aesthetics; Sociology; Engineering; Political science; Computer science; Law; Art; Linguistics","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":[0.001703371,0.0003610305,0.0004012079,0.0004478707,0.003794737,0.004703735,0.0008620655,0.001765323,0.01493725],"category_scores_gemma":[0.005408398,0.000165863,0.000335395,0.000987703,0.004990647,0.006311819,0.002759051,0.003269287,0.002765353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003060888,"about_ca_system_score_gemma":0.005043887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03783918,"about_ca_topic_score_gemma":0.1317457,"domain_scores_codex":[0.9989453,0.0005014972,0.00002774521,0.00006982279,0.0001693996,0.0002861667],"domain_scores_gemma":[0.997678,0.0006914308,0.0002288506,0.0002172128,0.0005362647,0.0006483021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002817308,0.000461061,0.05461108,0.002994924,0.00007747301,0.002910907,0.3478276,0.0001907349,0.001932365,0.06013107,0.1803562,0.3482249],"study_design_scores_gemma":[0.00001429107,0.0001394687,0.04130989,0.002474996,0.00005423507,0.0009030597,0.5608978,0.00009478992,0.001005134,0.01425419,0.378797,0.00005508762],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.346934,0.04415781,0.001118937,0.40826,0.006263939,0.00004758144,0.000673231,0.00005415073,0.1924903],"genre_scores_gemma":[0.8557592,0.04663581,0.0009343012,0.04451475,0.001790849,0.00003922665,0.000304712,0.00004785139,0.04997326],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03783918,"threshold_uncertainty_score":0.07523787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01085546035627728,"score_gpt":0.2022171019824486,"score_spread":0.1913616416261713,"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."}}