{"id":"W2045253820","doi":"10.3390/buildings2030326","title":"Why Buildings Fail: Are We Learning From Our Mistakes?","year":2012,"lang":"en","type":"article","venue":"Buildings","topic":"Construction Engineering and Safety","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Architectural engineering; Forensic engineering; Engineering; Deck; Work (physics); Water damage; Civil engineering; Computer science; History","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000137969,0.0002601366,0.0002517389,0.0001266227,0.0001102523,0.00006699168,0.0001722872,0.000144715,0.0001423382],"category_scores_gemma":[0.00005915118,0.0002876885,0.0001120499,0.0002282153,0.0000160761,0.0003193433,0.00002736157,0.0004406675,0.00009591714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009980077,"about_ca_system_score_gemma":0.000005481841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007437488,"about_ca_topic_score_gemma":0.00000343057,"domain_scores_codex":[0.998809,0.00001555773,0.0002453387,0.0002086141,0.000195384,0.0005260549],"domain_scores_gemma":[0.9994263,0.00004508931,0.00005473657,0.0002158906,0.00003381178,0.0002241518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005348937,0.0001123887,0.1152921,0.000526188,0.0006792826,0.00003628503,0.008926396,0.3721823,0.1461699,0.004203532,0.2694554,0.08236279],"study_design_scores_gemma":[0.0003435841,0.000009086376,0.004314622,0.0001269126,0.00003585135,0.00002913426,0.001725801,0.008639835,0.006543858,0.00005110887,0.9776666,0.0005135924],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8609114,0.00369661,0.1249366,0.001354689,0.00296026,0.0001471514,0.00002210496,0.002990472,0.002980694],"genre_scores_gemma":[0.9928008,0.0001380921,0.005770623,0.0000911746,0.0007488041,0.00001227415,0.000009278548,0.00008440037,0.0003445241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7082112,"threshold_uncertainty_score":0.9999575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01530989993447953,"score_gpt":0.2063783587283146,"score_spread":0.1910684587938351,"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."}}