{"id":"W2069524024","doi":"10.5539/ass.v9n15p277","title":"Evolution of Back Lane Design: A View of Terrace Housing in Malaysia","year":2013,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Urban Transport Systems Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Terrace (agriculture); Landscaping; Urbanization; Geography; Transport engineering; Architectural engineering; Civil engineering; Archaeology; Economic growth; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0001993621,0.0002138582,0.00007971389,0.001194834,0.0006186196,0.001370473,0.0003569581,0.0002484271,0.00219812],"category_scores_gemma":[0.0003305165,0.0001293406,0.0001413915,0.001358098,0.001352308,0.001197185,0.0009175211,0.0003287074,0.0002039747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002659453,"about_ca_system_score_gemma":0.00110566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02314917,"about_ca_topic_score_gemma":0.05391508,"domain_scores_codex":[0.9998381,0.0000533376,0.000008010325,0.00003379943,0.00002969925,0.00003703436],"domain_scores_gemma":[0.9998736,0.00001674156,0.00004794468,0.00000850365,0.00003229326,0.00002090893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002491743,0.0001184452,0.3858915,0.001483211,0.00009612952,0.009500903,0.1065413,0.008249625,0.008531731,0.1731856,0.004201931,0.3019505],"study_design_scores_gemma":[0.000003964853,0.0003037326,0.7448037,0.0008455153,0.00006427929,0.005661035,0.1240971,0.003753678,0.004298375,0.00799786,0.1080898,0.00008099597],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9258822,0.01049702,0.002135402,0.001042263,0.00003861918,0.00002428172,0.0002510532,0.0000222271,0.06010688],"genre_scores_gemma":[0.991026,0.003395557,0.0007952302,0.0000394577,0.000004805865,0.000003446507,0.00005011786,0.000004911904,0.004680353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02314917,"threshold_uncertainty_score":0.04602885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01342746599608027,"score_gpt":0.2162023062505911,"score_spread":0.2027748402545108,"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."}}