{"id":"W2955171787","doi":"10.29173/mocs92","title":"The Value Proposition of RFID Technology in Tall Prefabricated Timber Buildings","year":2019,"lang":"en","type":"article","venue":"Modular and Offsite Construction (MOC) Summit Proceedings","topic":"BIM and Construction Integration","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prefabrication; Radio-frequency identification; Supply chain; Factory (object-oriented programming); Value proposition; Architectural engineering; Production (economics); Investment (military); Order (exchange); Engineering; Computer science; Operations management; Manufacturing engineering; Systems engineering; Business; Civil engineering; Computer security; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000161756,0.0001892617,0.0002255379,0.0003329132,0.0001064917,0.00007204746,0.0001275651,0.0002301902,0.00002814467],"category_scores_gemma":[0.00001921321,0.0001596163,0.00005147917,0.000645033,0.0002485975,0.0003603082,0.00003631762,0.0002846779,0.00001416137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007956333,"about_ca_system_score_gemma":0.00001781155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000213741,"about_ca_topic_score_gemma":0.000009566123,"domain_scores_codex":[0.9989094,0.000008238606,0.0003923008,0.0002754366,0.0001748101,0.0002398836],"domain_scores_gemma":[0.9994956,0.00001505871,0.0001155345,0.0001232016,0.0002072073,0.00004343757],"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":[0.0001237664,0.00004305813,0.2330538,0.0004179676,0.0001425638,0.000001249809,0.0004393268,0.001663134,0.4087363,0.2445085,0.0004016604,0.1104687],"study_design_scores_gemma":[0.004721149,0.0005823342,0.06127974,0.0009671748,0.0002158286,0.0007332789,0.007202156,0.2197221,0.6130172,0.04466451,0.04506153,0.001833013],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933696,0.0004267064,0.001666939,0.0002678249,0.0004223895,0.0004130875,0.000004664635,0.0002192694,0.003209523],"genre_scores_gemma":[0.9970183,0.0001968461,0.002500882,0.00001169621,0.00003970256,0.00003923813,0.00000635344,0.00002373382,0.0001632383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.218059,"threshold_uncertainty_score":0.6508965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002543184224073203,"score_gpt":0.1719121885859425,"score_spread":0.1693690043618693,"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."}}