{"id":"W4296079866","doi":"10.29173/mocs255","title":"Design-for-Manufacturing-and-Assembly (DfMA) for the construction industry: A review","year":2022,"lang":"en","type":"review","venue":"Modular and Offsite Construction (MOC) Summit Proceedings","topic":"BIM and Construction Integration","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal; Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; National Research Council Canada; Polytechnique Montréal","keywords":"Engineering; Systematic review; Construction industry; Computer science; Engineering management; Manufacturing engineering; Construction engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.002795699,0.001173312,0.001456175,0.008387399,0.0007295276,0.002241484,0.00130243,0.001934977,0.003470818],"category_scores_gemma":[0.006275892,0.0006228707,0.001214298,0.01161127,0.0009145758,0.002664003,0.001169772,0.001488801,0.0009458106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001887257,"about_ca_system_score_gemma":0.00815523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005448817,"about_ca_topic_score_gemma":0.01223342,"domain_scores_codex":[0.9982473,0.0004268457,0.0004029279,0.0001760241,0.0006753998,0.0000714533],"domain_scores_gemma":[0.9931953,0.004834989,0.0006697782,0.0001217416,0.00104001,0.0001381584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002887329,0.00007551444,0.0004838317,0.20185,0.0002526908,0.0001974717,0.0005064894,0.0004370624,0.0006990464,0.006515534,0.0170785,0.771875],"study_design_scores_gemma":[0.00001236166,0.0001275697,0.002498133,0.1219023,0.0007699494,0.001156628,0.0006718414,0.00016016,0.0004866014,0.002426808,0.8697476,0.00003997815],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001162118,0.9986035,0.0001734468,0.0002069843,0.0001043623,0.00001095724,0.00001301696,0.000004128833,0.0007674805],"genre_scores_gemma":[0.00107891,0.9981845,0.0003934669,0.0001191365,0.00005012622,0.00001504046,0.00001647498,0.000001907028,0.0001404691],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008387399,"threshold_uncertainty_score":0.01478523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04268418942031275,"score_gpt":0.2647113452291091,"score_spread":0.2220271558087964,"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."}}