{"id":"W2022729100","doi":"10.1061/(asce)1076-0342(2003)9:1(26)","title":"Reconstruction of the Building Infrastructure: Two Performance Prediction Models","year":2003,"lang":"en","type":"article","venue":"Journal of Infrastructure Systems","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Professional Engineers Ontario","funders":"","keywords":"Schedule; Computer science; Work (physics); Quality (philosophy); Engineering; Transport engineering; Risk analysis (engineering); Operations research; Business","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":[0.0004916116,0.0003045011,0.000501433,0.0002532964,0.0001381288,0.00006311877,0.0003836269,0.000200998,0.00002031996],"category_scores_gemma":[0.00008574125,0.0002031825,0.0002152759,0.0004480496,0.0001027583,0.0008013324,0.00002757677,0.0007738374,4.730797e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003122628,"about_ca_system_score_gemma":0.0001305309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004923952,"about_ca_topic_score_gemma":6.542923e-7,"domain_scores_codex":[0.9977066,0.0001027048,0.00115314,0.0001457808,0.000541043,0.0003507508],"domain_scores_gemma":[0.9983444,0.00003868687,0.0007275708,0.0003549129,0.00043361,0.0001008725],"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":[0.00001674231,0.000002761006,0.01291449,0.0001949089,0.000117876,0.00000190186,0.0003201404,0.9517763,0.02614127,0.002370518,0.0007010194,0.005442115],"study_design_scores_gemma":[0.006559826,0.0006068075,0.08670589,0.005385486,0.0006142035,0.01774233,0.004082783,0.5251052,0.3040981,0.02868986,0.01868575,0.001723694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9479311,0.000776156,0.03145576,0.000005799091,0.01669229,0.0002352737,0.00001459968,0.0000502647,0.002838778],"genre_scores_gemma":[0.993725,0.0001470759,0.005103395,0.000008579409,0.0009477269,0.000003934002,5.595692e-7,0.00004500981,0.00001874507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.426671,"threshold_uncertainty_score":0.8285543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005035586666480134,"score_gpt":0.1883389121730756,"score_spread":0.1833033255065954,"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."}}