{"id":"W4317851344","doi":"10.32920/21948623","title":"Designing Buildings Using Reclaimed Steel Components","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Recycled Aggregate Concrete Performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Resources Canada; University of Toronto; Canadian Institute of Steel Construction","keywords":"Reuse; Component (thermodynamics); Work (physics); Architectural engineering; Engineering; Construction engineering; Civil engineering; Waste management; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0006349419,0.0006344005,0.0002701585,0.0008078049,0.0005260369,0.001990973,0.001092541,0.0006833907,0.002147371],"category_scores_gemma":[0.0007368378,0.000700056,0.0005535157,0.0005503595,0.001145527,0.001047513,0.0008298362,0.0003534135,0.001193798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001120811,"about_ca_system_score_gemma":0.001247511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00721087,"about_ca_topic_score_gemma":0.02461548,"domain_scores_codex":[0.9994258,0.0001954656,0.00003208486,0.00006468407,0.0002075898,0.0000744845],"domain_scores_gemma":[0.9997079,0.00007949632,0.00003579669,0.00005741341,0.00008993101,0.00002944278],"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":[0.0001321154,0.0001934913,0.007987874,0.001431963,0.0001053878,0.001541964,0.006005919,0.4406274,0.177078,0.08138968,0.003004326,0.2805019],"study_design_scores_gemma":[0.0001016267,0.001519761,0.02356676,0.0006624187,0.0004903674,0.002078867,0.01227925,0.3363037,0.1795992,0.03200123,0.4111568,0.0002400788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4083987,0.001642463,0.521442,0.0003711948,0.00006318702,0.0003184923,0.0001446313,0.001226568,0.06639273],"genre_scores_gemma":[0.6334247,0.001859546,0.3406779,0.00003620265,0.00001081421,0.0001038865,0.0001938621,0.0003497247,0.02334335],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00721087,"threshold_uncertainty_score":0.01433784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08191550005759161,"score_gpt":0.2659881818888695,"score_spread":0.1840726818312778,"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."}}