{"id":"W2889214146","doi":"10.1002/cepa.864","title":"An innovative application of autoclaved aerated concrete technology","year":2018,"lang":"en","type":"article","venue":"ce/papers","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Sudbury","funders":"","keywords":"Autoclaved aerated concrete; Commercialization; Engineering; Block (permutation group theory); Thermal resistance; Architectural engineering; Civil engineering; Business; Thermal; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0001970546,0.0003267948,0.0001725637,0.0006667614,0.0002364431,0.0005713709,0.0004257904,0.0003731256,0.001944945],"category_scores_gemma":[0.0001736246,0.000150683,0.0003613716,0.0004988901,0.0002556923,0.0003420049,0.000399739,0.0002711942,0.0004595411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002947132,"about_ca_system_score_gemma":0.0006132821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001428118,"about_ca_topic_score_gemma":0.002624302,"domain_scores_codex":[0.999731,0.00001947601,0.00001326831,0.0000414191,0.0001631623,0.00003165656],"domain_scores_gemma":[0.9998471,0.00001784303,0.00003015468,0.00002175393,0.00006590685,0.00001729377],"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":[0.00008162815,0.00009328578,0.001583758,0.000263969,0.00001813119,0.0002346421,0.00006308679,0.0104493,0.9279308,0.002944957,0.0005311967,0.05580518],"study_design_scores_gemma":[0.0000650801,0.001261485,0.005588016,0.00005626898,0.00006937188,0.0006283211,0.0001022798,0.03298962,0.9057375,0.0007386144,0.05272213,0.00004135039],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8136325,0.00337256,0.1344408,0.0002922,0.0002326548,0.0001993087,0.0002642754,0.0008001107,0.04676549],"genre_scores_gemma":[0.9603081,0.000668068,0.03298571,0.00002792143,0.0000161701,0.00002378153,0.00009669991,0.00001452461,0.005859034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001944945,"threshold_uncertainty_score":0.006506562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005356880771239322,"score_gpt":0.231061911940147,"score_spread":0.2257050311689077,"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."}}