{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006840856,0.0001412241,0.0002073221,0.0002031699,0.0001455867,0.0001626329,0.0001442576,0.0000862007,0.00004533767],"category_scores_gemma":[0.002202473,0.000157278,0.00004755722,0.001164402,0.00003267984,0.001285647,0.00008565695,0.0001173312,0.000006383234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005149176,"about_ca_system_score_gemma":0.0001798807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001160821,"about_ca_topic_score_gemma":0.0001139732,"domain_scores_codex":[0.9987608,0.00002266383,0.0003498016,0.0003812037,0.0001469369,0.00033866],"domain_scores_gemma":[0.9993086,0.00003063745,0.0001254756,0.00009349574,0.0004316953,0.00001008906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003444107,0.0001127754,0.9595192,0.001358557,0.000007045315,0.00000676227,0.001487287,0.002377602,0.0001631963,0.01304768,0.002973993,0.01860149],"study_design_scores_gemma":[0.004848517,0.00001774093,0.6878077,0.00004220165,0.0000359462,1.164064e-7,0.004345694,0.1924488,0.0001379954,0.09247295,0.01698219,0.000860133],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9327079,0.00006315379,0.02350195,0.0368171,0.0003157507,0.002295647,0.000002159428,0.0002803397,0.004016028],"genre_scores_gemma":[0.9976421,7.982667e-7,0.0003180617,0.001219642,0.0006610057,0.000062035,0.00004660912,0.00002311478,0.00002666033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2717115,"threshold_uncertainty_score":0.6413612,"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."}}