{"id":"W2940167186","doi":"10.29173/mocs4","title":"Prefabricated Timber Concrete Composite Floors","year":2016,"lang":"en","type":"article","venue":"Modular and Offsite Construction (MOC) Summit Proceedings","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Berner Fachhochschule; University of British Columbia; FPInnovations; Kommission für Technologie und Innovation","keywords":"Precast concrete; Formwork; Modular design; Cross laminated timber; Composite number; Civil engineering; Structural engineering; Embodied energy; Stiffness; Architectural engineering; Engineering; Environmental science; Computer science; Forensic 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007172918,0.0002735346,0.0002616534,0.0001350432,0.0001518829,0.0001091857,0.00009423864,0.0001331231,0.0001198831],"category_scores_gemma":[0.000009443078,0.0001962495,0.00006973496,0.0001774331,0.0001931187,0.0005064518,0.00003993466,0.0001040984,0.0001033642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005939711,"about_ca_system_score_gemma":0.000007665135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001187924,"about_ca_topic_score_gemma":0.000001700334,"domain_scores_codex":[0.9989591,0.000007239569,0.0002521168,0.0003084444,0.0001614318,0.0003117319],"domain_scores_gemma":[0.9995776,0.00001646131,0.00004997913,0.0001034825,0.0001164103,0.0001360492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000268863,0.00002366634,0.3209848,0.0004271665,0.0009547705,0.0000207926,0.001092836,0.00008826882,0.4966787,0.004475628,0.008319533,0.166665],"study_design_scores_gemma":[0.008830914,0.0005495594,0.04518213,0.0009794474,0.0007231153,0.0004940747,0.0008345455,0.02080267,0.6735578,0.002292377,0.24268,0.003073291],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895568,0.001021686,0.0006657044,0.0002151786,0.0003185386,0.0002267201,0.00001940384,0.0005994329,0.00737648],"genre_scores_gemma":[0.996033,0.0004301674,0.002151253,0.00003334936,0.0001287499,0.00002826181,0.00001014838,0.00004436283,0.001140692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2758026,"threshold_uncertainty_score":0.8002821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006884388953598168,"score_gpt":0.1702988019988665,"score_spread":0.1634144130452683,"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."}}