{"id":"W4284681806","doi":"10.3390/buildings12070955","title":"Mass Customization of Housing: A Framework for Harmonizing Individual Needs with Factory Produced Housing","year":2022,"lang":"en","type":"article","venue":"Buildings","topic":"BIM and Construction Integration","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Mass customization; Flexibility (engineering); Agile software development; Personalization; Pace; Process (computing); Process management; Prefabrication; Housing industry; Production (economics); Factory (object-oriented programming); Computer science; Engineering; Systems engineering; Architectural engineering; Risk analysis (engineering); Manufacturing engineering; Business; Software engineering; World Wide Web","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":[0.0001295156,0.0001116741,0.0001324014,0.0002190434,0.0001700274,0.0000396032,0.00009914176,0.00005366568,0.00003408911],"category_scores_gemma":[0.00002701767,0.0001147753,0.0000398556,0.0004254425,0.00002688165,0.0001414453,0.00001976767,0.0001904866,3.728235e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001011568,"about_ca_system_score_gemma":0.00004134647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009310038,"about_ca_topic_score_gemma":9.864626e-7,"domain_scores_codex":[0.9993249,0.00001405967,0.0001820538,0.0001277932,0.0001984536,0.0001527832],"domain_scores_gemma":[0.9996724,0.00003750522,0.00008699189,0.0001127538,0.0000634403,0.00002690105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004387615,0.000115088,0.03411005,0.000679161,0.0005286946,0.000003609715,0.01655013,0.4242278,0.3118391,0.06778947,0.004329771,0.1393884],"study_design_scores_gemma":[0.004658331,0.0009700075,0.003085971,0.0006569253,0.0006617953,0.00008508046,0.02399597,0.1136033,0.7659836,0.01108245,0.07280028,0.002416291],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5941266,0.0001047543,0.4048092,0.00005081042,0.000340365,0.0002281237,0.00001913515,0.0001971842,0.0001238355],"genre_scores_gemma":[0.9551904,0.000003701108,0.04452475,0.00003204068,0.00009227753,0.00008378284,0.00001793156,0.00004242681,0.00001269693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4541446,"threshold_uncertainty_score":0.4680402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02592503814718002,"score_gpt":0.2172538185399999,"score_spread":0.1913287803928199,"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."}}