{"id":"W2936647771","doi":"10.29173/mocs64","title":"Construction industrialization and it integration: how tall wood buildings can show the right path towards construction 4.0","year":2017,"lang":"en","type":"article","venue":"Modular and Offsite Construction (MOC) Summit Proceedings","topic":"BIM and Construction Integration","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Building information modeling; Supply chain; Architectural engineering; Construction industry; Industrialisation; Path (computing); Order (exchange); Construction engineering; Computer science; Engineering; Business; Operations management; Marketing; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.000387027,0.0005579077,0.0004785667,0.0003240482,0.001793666,0.002022706,0.0003007951,0.0005511001,0.00009149445],"category_scores_gemma":[0.0001739493,0.0004741915,0.0001276791,0.0003201881,0.001436412,0.001901557,0.0001034941,0.0006869088,0.000003974306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001775755,"about_ca_system_score_gemma":0.00007580163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000110134,"about_ca_topic_score_gemma":0.0001391692,"domain_scores_codex":[0.9977946,0.00003734123,0.0005747372,0.0006922667,0.0004597031,0.0004413966],"domain_scores_gemma":[0.998333,0.00002724394,0.0004721997,0.0003689951,0.000574615,0.0002239127],"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":[0.0001057049,0.00002449364,0.02860924,0.0002165887,0.0002962966,0.000005475167,0.001234781,0.00007357066,0.01443908,0.1618529,0.005003064,0.7881388],"study_design_scores_gemma":[0.015998,0.00103649,0.06404586,0.002592824,0.002522211,0.01046783,0.0602153,0.1612828,0.2070291,0.05211508,0.4148411,0.007853361],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9489198,0.0005007698,0.03175448,0.00677379,0.0042574,0.001016017,0.00009712458,0.0006402644,0.006040331],"genre_scores_gemma":[0.9903735,0.0008856617,0.007302006,0.0001073852,0.0008507493,0.00009051372,0.00006017525,0.00006086036,0.0002691507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7802855,"threshold_uncertainty_score":0.999771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212382203177793,"score_gpt":0.2026194617216751,"score_spread":0.1904956396898972,"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."}}