{"id":"W2953598351","doi":"10.29173/mocs105","title":"Smart Manufacturing Support to Product Platforms in Industrialized House Building","year":2019,"lang":"en","type":"article","venue":"Modular and Offsite Construction (MOC) Summit Proceedings","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Linnéuniversitetet; Stiftelsen för Kunskaps- och Kompetensutveckling","keywords":"Context (archaeology); Product (mathematics); Asset (computer security); Process (computing); Manufacturing engineering; Business; Computer science; Risk analysis (engineering); Engineering; Marketing; Process management; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002818158,0.0003177742,0.0003643186,0.0005302633,0.00007453193,0.0002751136,0.0001705147,0.0002300779,0.0001362928],"category_scores_gemma":[0.00002656955,0.0003347891,0.00006352366,0.0004112059,0.00005580379,0.001608335,0.00005511713,0.0004692181,0.0001003395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001602661,"about_ca_system_score_gemma":0.00002407137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001688437,"about_ca_topic_score_gemma":0.000005552671,"domain_scores_codex":[0.9982604,0.000003046111,0.0005435113,0.0004226279,0.0002999233,0.0004705066],"domain_scores_gemma":[0.9995025,0.00001443031,0.00006695136,0.0001531995,0.00006920339,0.0001936647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005836955,0.0001475437,0.5436315,0.002738734,0.0004631677,0.00003660448,0.004921961,0.02242659,0.06550135,0.01248682,0.006857387,0.3402046],"study_design_scores_gemma":[0.0098352,0.0003921966,0.03519184,0.001294993,0.000124093,0.0004981838,0.007113179,0.007847729,0.7043148,0.002732032,0.2271712,0.003484554],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909453,0.00002936621,0.0005183361,0.00008158208,0.00101031,0.0007461662,0.00001634944,0.0005440427,0.006108483],"genre_scores_gemma":[0.9974091,0.00002652796,0.001984289,0.00005016079,0.0001480024,0.00004719518,0.00001235287,0.00007332018,0.0002490172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6388135,"threshold_uncertainty_score":0.9999104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01015971024340754,"score_gpt":0.2001800418355044,"score_spread":0.1900203315920969,"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."}}