{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000253627,0.0004746433,0.0005209252,0.0003078718,0.000093618,0.0001615441,0.0005636791,0.0004218971,0.0001082521],"category_scores_gemma":[0.00002965576,0.000508966,0.0001496084,0.0002346721,0.00003798944,0.000155566,0.0006524285,0.000954819,0.00041139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003533313,"about_ca_system_score_gemma":0.00003997103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001482086,"about_ca_topic_score_gemma":0.000004738939,"domain_scores_codex":[0.9980727,0.00003385021,0.0005112512,0.0004968821,0.0003247438,0.0005605112],"domain_scores_gemma":[0.9989833,0.0000895031,0.0001052694,0.0006219903,0.00005923396,0.0001407267],"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":[0.000008160196,0.000003786789,0.0007040516,0.0008154947,0.0002344439,0.00007128606,0.0002075584,0.7257463,0.266958,0.00002414857,0.001821414,0.003405343],"study_design_scores_gemma":[0.0002291986,0.000006236206,0.0005621113,0.001060953,0.00004969599,0.0000145204,0.00002996803,0.9310542,0.06478269,0.0002534316,0.00122646,0.0007305092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9194767,0.0004959143,0.06833135,0.00003839243,0.003460829,0.0005622263,0.00001907948,0.00358396,0.004031477],"genre_scores_gemma":[0.8804834,0.0007197286,0.1165742,0.00002844872,0.0004539456,0.00007260236,0.00009549025,0.0003768441,0.001195285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2053079,"threshold_uncertainty_score":0.9997362,"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."}}