{"id":"W4400317229","doi":"10.1088/1755-1315/1363/1/012098","title":"Carbon-storing Prefabricated Retrofit Panel Designs","year":2024,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Constructability; Building envelope; Embodied energy; Engineering; Architectural engineering; Carbon fibers; Civil engineering; Construction engineering; Environmental science; Computer science; Thermal; Systems engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005188735,0.0003160632,0.0002083413,0.00007648954,0.0004744905,0.0003246831,0.0004188336,0.00008887087,0.002170108],"category_scores_gemma":[0.00003714062,0.0002779576,0.00005450603,0.0004663282,0.003513816,0.001495668,0.0006342723,0.0002677292,0.0002142842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004105117,"about_ca_system_score_gemma":0.00004980335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000389448,"about_ca_topic_score_gemma":0.00004860084,"domain_scores_codex":[0.997264,0.00005185609,0.0002690733,0.0009150513,0.0006994985,0.0008005163],"domain_scores_gemma":[0.9990254,0.00003304836,0.00004619391,0.0004098271,0.000002647999,0.0004828675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0000494886,0.00009183228,0.07695084,0.00004211832,0.00001388005,0.00008514444,0.002620285,0.0001467442,0.8686488,0.0007085676,0.00005137792,0.05059093],"study_design_scores_gemma":[0.000271695,0.0005077995,0.7549447,0.00005124363,0.00003685267,0.0001727645,0.002830307,0.006120101,0.2195042,0.001128872,0.01354845,0.0008829648],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821073,0.0002698231,0.00008741295,0.0002409578,0.0002068769,0.0002969499,0.00001822817,0.0001309818,0.01664145],"genre_scores_gemma":[0.9956748,0.000326931,0.0006062228,0.00008049991,0.00003538418,0.00002387041,0.000008688338,0.00002061398,0.003223005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6779939,"threshold_uncertainty_score":0.9999673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02768777141195247,"score_gpt":0.2288153640397625,"score_spread":0.20112759262781,"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."}}