{"id":"W2315420192","doi":"10.1061/40475(278)97","title":"Assessing the Quality of a Construction Schedule","year":2000,"lang":"en","type":"article","venue":"","topic":"BIM and Construction Integration","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Schedule; Computer science; Scheduling (production processes); Quality (philosophy); Work (physics); Production schedule; Operations research; Risk analysis (engineering); Operations management; Engineering; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000878839,0.00003445307,0.00004809624,0.00001337933,0.00003319738,0.00002477649,0.00003070786,0.00002761354,0.001772866],"category_scores_gemma":[0.000004660889,0.00002304527,0.00002455857,0.00008128479,0.00005300242,0.0001504408,0.000001296612,0.00005300464,0.00002066175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008885527,"about_ca_system_score_gemma":0.000006826718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002288952,"about_ca_topic_score_gemma":0.000009059561,"domain_scores_codex":[0.9997032,0.00001786499,0.0001386995,0.00003598115,0.00006044521,0.00004381594],"domain_scores_gemma":[0.9998562,0.00001916742,0.00001293863,0.00008133228,0.00002112655,0.000009258391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002461844,0.00000632954,0.003041956,0.00001978542,0.00002160713,4.662348e-8,0.00009796003,0.002257945,0.01535267,0.09264538,0.000233501,0.8863204],"study_design_scores_gemma":[0.001819887,0.00006012977,0.2574658,0.000129327,0.00008079067,0.0001888929,0.01297963,0.2069394,0.4374874,0.03291061,0.0489513,0.0009869308],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8468044,0.00004254992,0.01350163,0.00005680854,0.0001527815,0.00002934037,7.004421e-7,0.0001010042,0.1393108],"genre_scores_gemma":[0.996457,0.00001017611,0.003311101,0.00001436019,0.00003004102,0.000002797133,9.187142e-7,0.000003041776,0.0001705231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8853334,"threshold_uncertainty_score":0.9991397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02300047251240687,"score_gpt":0.2912683991327077,"score_spread":0.2682679266203009,"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."}}