{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003414982,0.00008242249,0.0001000151,0.000100277,0.00003672634,0.000004866644,0.00009065346,0.00009867149,0.0000287772],"category_scores_gemma":[0.00003038001,0.00008486757,0.000007903655,0.0003713968,0.000142936,0.0000467913,0.000009010168,0.00007848106,0.00001069112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003315057,"about_ca_system_score_gemma":0.000009982081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003485496,"about_ca_topic_score_gemma":0.000002130883,"domain_scores_codex":[0.999584,0.00000529706,0.0001330273,0.0001187949,0.00004523222,0.0001136041],"domain_scores_gemma":[0.9996009,0.00001150858,0.00004108793,0.000196203,0.0001286134,0.00002170752],"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":[0.00002153915,0.000006453117,0.0001602354,0.00003581857,0.0000422273,8.138562e-7,0.0005074882,0.2686585,0.6929117,0.01232013,0.00006827664,0.02526684],"study_design_scores_gemma":[0.0004420744,0.000199653,0.0008249964,0.00001536703,0.00001319867,0.000002275058,0.0002333324,0.2387721,0.7473631,0.000958347,0.01090497,0.0002705751],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2548396,0.00004937955,0.6920331,0.00006047842,0.0002670444,0.0003835308,0.00001920656,0.001482541,0.05086509],"genre_scores_gemma":[0.986694,0.000008506089,0.01311458,0.00002251715,0.00003936168,0.00001920655,0.00004440097,0.00001817559,0.00003921549],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7318544,"threshold_uncertainty_score":0.3460799,"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."}}