{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001089507,0.0003535446,0.0001052966,0.0002934565,0.000155647,0.0002341972,0.0002449541,0.0002326052,0.007008125],"category_scores_gemma":[0.0001662913,0.0001287554,0.000133761,0.0001979887,0.0001212561,0.0001198504,0.0001770908,0.0003668605,0.001498559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001009731,"about_ca_system_score_gemma":0.0002371586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008476574,"about_ca_topic_score_gemma":0.002880203,"domain_scores_codex":[0.9998896,0.000004275507,0.000005883293,0.00001628562,0.00005937203,0.00002458499],"domain_scores_gemma":[0.9998596,0.00001481084,0.00002872622,0.00002286963,0.00004525506,0.00002869925],"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":[0.00009032599,0.00006124937,0.001022601,0.000193238,0.000006288879,0.0003817648,0.00007181925,0.003186835,0.9408861,0.001435726,0.001054635,0.05160954],"study_design_scores_gemma":[0.00003487886,0.001252575,0.03213105,0.00007730011,0.00003291646,0.001786822,0.0002091546,0.006576107,0.8427692,0.0005512699,0.1145349,0.00004388512],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8805393,0.001372133,0.07056744,0.00007520389,0.0003786738,0.0002176582,0.001005147,0.001316415,0.04452809],"genre_scores_gemma":[0.9278196,0.0005457462,0.04524764,0.00003799906,0.00002311711,0.00005042625,0.0006348605,0.00007603483,0.02556461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007008125,"threshold_uncertainty_score":0.02344453,"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."}}