{"id":"W2955324818","doi":"10.29173/mocs132","title":"Investigating Stakeholders' Perceptions of Feasibility and Implications of Modular Construction-Based Post-Disaster Reconstruction","year":2019,"lang":"en","type":"article","venue":"Modular and Offsite Construction (MOC) Summit Proceedings","topic":"BIM and Construction Integration","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Modular design; Natural disaster; Flooding (psychology); Emergency management; Construction engineering; Engineering; Civil engineering; Risk analysis (engineering); Forensic engineering; Architectural engineering; Business; Computer science; Geography; Political science","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":[0.01031459,0.0003335928,0.0001958679,0.0007116724,0.002038338,0.002025699,0.0008111336,0.001307996,0.003444172],"category_scores_gemma":[0.01818951,0.0002670247,0.0004023742,0.0004615482,0.002228732,0.002118547,0.002655944,0.001171497,0.0003167765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001630917,"about_ca_system_score_gemma":0.002414971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002447286,"about_ca_topic_score_gemma":0.004453091,"domain_scores_codex":[0.9925269,0.004835662,0.0002611772,0.0002259505,0.001059766,0.001090593],"domain_scores_gemma":[0.9902879,0.00496873,0.001301924,0.0003365981,0.001736613,0.001368276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005489468,0.001381657,0.2006239,0.002046687,0.00009186714,0.006947841,0.5954843,0.004140676,0.02342212,0.01641931,0.005270151,0.1436226],"study_design_scores_gemma":[0.0000318885,0.001070641,0.07625625,0.0006708306,0.00004886822,0.0008191495,0.8814024,0.003592186,0.002406255,0.002146569,0.03146852,0.00008651872],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872512,0.0001438309,0.002309942,0.001369277,0.00002142041,0.000110686,0.00002183628,0.00001076007,0.008761005],"genre_scores_gemma":[0.9980145,0.0001719392,0.00111572,0.0001064839,0.000002834885,0.00003725798,0.0000123298,0.000003490395,0.0005353473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01031459,"threshold_uncertainty_score":0.0545494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01834454964080253,"score_gpt":0.2115309248818566,"score_spread":0.1931863752410541,"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."}}