{"id":"W2236236829","doi":"10.1139/cjce-2015-0010","title":"Supply chain cost model for prefabricated building material based on time-driven activity-based costing","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Operations Management Techniques","field":"Decision Sciences","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supply chain; Activity-based costing; Cost driver; Service management; Total cost; Process (computing); Supply chain risk management; Business; Supply chain management; Industrial organization; Operations management; Risk analysis (engineering); Environmental economics; Computer science; Engineering; Economics; Marketing","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":[0.001882999,0.001177799,0.0009925942,0.001530373,0.0006946179,0.002027879,0.002457576,0.002142616,0.008328418],"category_scores_gemma":[0.002795496,0.0007833444,0.001762347,0.00178455,0.0008141362,0.002029344,0.001074169,0.001732077,0.000664377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004446024,"about_ca_system_score_gemma":0.002542569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03727766,"about_ca_topic_score_gemma":0.02127071,"domain_scores_codex":[0.9991609,0.0002732323,0.00003537759,0.0001198728,0.0002311005,0.0001795389],"domain_scores_gemma":[0.9988153,0.0006442384,0.0001223951,0.00005006357,0.0003014558,0.00006653022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001343771,0.00001274201,0.0001482815,0.00001652468,0.000006037535,0.00002919694,0.00001825955,0.9900256,0.0001597946,0.007845935,0.0001365382,0.00158757],"study_design_scores_gemma":[0.000003764679,0.000008299425,0.00009758863,0.000004681615,0.000006359089,0.000006951028,0.000009755416,0.9973156,0.00005625173,0.002148674,0.0003374124,0.000004744409],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08890723,0.0006907645,0.8702404,0.0009325272,0.0001175357,0.0004044921,0.0009666117,0.0003199267,0.03742043],"genre_scores_gemma":[0.9063669,0.0008828123,0.0531337,0.0001235554,0.000039007,0.0009084302,0.0006359568,0.0001399212,0.03776965],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03727766,"threshold_uncertainty_score":0.07412136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04000400579223071,"score_gpt":0.2863666264644169,"score_spread":0.2463626206721861,"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."}}