{"id":"W3097382165","doi":"10.3390/su12219027","title":"Mass Customization for Social Housing in Evolving Neighborhoods in Brazil","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Occupancy; Mass customization; Context (archaeology); Personalization; Post-occupancy evaluation; Business; Public housing; Marketing; Economic growth; Architectural engineering; Economics; Geography; 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":[0.0005150997,0.0001407867,0.0001355911,0.000486286,0.001354243,0.001078585,0.0004537849,0.0002179792,0.001427544],"category_scores_gemma":[0.001169104,0.000108819,0.0001671943,0.0006951921,0.001240057,0.0006022694,0.001557213,0.0002008693,0.00007152902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002790022,"about_ca_system_score_gemma":0.001799633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03390842,"about_ca_topic_score_gemma":0.1442339,"domain_scores_codex":[0.9996178,0.0001203911,0.00001555133,0.00006308466,0.00009562591,0.00008748938],"domain_scores_gemma":[0.9996544,0.00006105981,0.0001130768,0.00003802482,0.00006255712,0.00007090638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001380466,0.0003616793,0.5077944,0.0005694063,0.00006231068,0.006378864,0.1705624,0.001782842,0.01372842,0.04122541,0.0029143,0.2544819],"study_design_scores_gemma":[0.000009505887,0.0003020877,0.7414277,0.0004856003,0.0000536661,0.001765082,0.1669421,0.002304363,0.002113988,0.003741713,0.08081832,0.00003585494],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873971,0.0004165208,0.0005968402,0.0003397424,0.000007430123,0.00003864402,0.00003588181,0.0000076862,0.01116019],"genre_scores_gemma":[0.9986863,0.0001559565,0.0004584231,0.000014786,0.000001766477,0.000006486676,0.0000117605,0.000001859051,0.0006627815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03390842,"threshold_uncertainty_score":0.06742209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01529609014432241,"score_gpt":0.2546552418274737,"score_spread":0.2393591516831513,"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."}}