{"id":"W2939960144","doi":"10.29173/mocs62","title":"Key technologies for prefabricated timber buildings","year":2017,"lang":"en","type":"article","venue":"Modular and Offsite Construction (MOC) Summit Proceedings","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prefabrication; Architectural engineering; Key (lock); Process (computing); Engineering; Construction engineering; Civil engineering; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003452782,0.0005381725,0.0002409581,0.001661312,0.0009131691,0.001877869,0.0007605449,0.000976208,0.01054098],"category_scores_gemma":[0.000340738,0.0003187143,0.0003848963,0.001702723,0.00101291,0.002787614,0.00123916,0.0008411451,0.002633004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001084057,"about_ca_system_score_gemma":0.0008259274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008982675,"about_ca_topic_score_gemma":0.001401597,"domain_scores_codex":[0.9996087,0.00004756654,0.0000285957,0.00006762824,0.0001876928,0.00005987869],"domain_scores_gemma":[0.9998574,0.00003445056,0.00002498139,0.00002902617,0.00003894456,0.00001505631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004664766,0.00007442995,0.001258216,0.00151082,0.00001298656,0.001312434,0.001849125,0.005060168,0.05930068,0.5094761,0.006439957,0.4136584],"study_design_scores_gemma":[0.00001525337,0.0001994009,0.004056166,0.0006259889,0.00003508013,0.002948536,0.001470259,0.008241989,0.03317122,0.126232,0.8229384,0.00006574553],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07316215,0.05626119,0.3969668,0.002931237,0.0009881523,0.0006764962,0.0004852802,0.0007529183,0.4677758],"genre_scores_gemma":[0.5572076,0.06059232,0.2637984,0.0004502489,0.0005275325,0.0004970316,0.0006709085,0.0001336295,0.1161224],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01054098,"threshold_uncertainty_score":0.035263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0122692595086685,"score_gpt":0.2058532023226092,"score_spread":0.1935839428139407,"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."}}