{"id":"W8961075","doi":"10.1097/00005344-199612000-00007","title":"Infrastructure management in Toronto","year":2010,"lang":"en","type":"article","venue":"Docs.school Publications","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; National Heart, Lung, and Blood Institute","keywords":"Computer science; Business","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001218826,0.0001506367,0.0001175611,0.000120077,0.00007196346,0.0001354104,0.0003257009,0.0001252757,0.003569958],"category_scores_gemma":[0.00006085783,0.0001510821,0.00004379762,0.0003493485,0.00003668922,0.000758454,0.00005153751,0.0004021484,0.00004706454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004258576,"about_ca_system_score_gemma":0.0000396105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001658033,"about_ca_topic_score_gemma":0.002411835,"domain_scores_codex":[0.9990706,0.00001279076,0.0002570036,0.0002147876,0.0001382197,0.0003066256],"domain_scores_gemma":[0.9990817,0.00002090364,0.00002075748,0.0006433004,0.0000718341,0.0001614814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000008508568,0.0001290306,0.06190469,0.0001759743,0.000144402,0.000005444206,0.0006292614,0.003250581,0.00331377,0.6295953,0.2460669,0.05477616],"study_design_scores_gemma":[0.0002433328,0.000005374356,0.5175298,0.000001937433,0.000008100354,0.000005207622,0.0005782676,0.00155088,0.0000497164,0.02996007,0.4498669,0.0002003878],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2244533,0.0001538781,0.005630184,0.001232837,0.0008396759,0.0006048633,0.00001663275,0.0007429669,0.7663256],"genre_scores_gemma":[0.9922277,0.00003558047,0.006384667,0.0001527175,0.0001377529,0.0001609596,0.00004844121,0.00002307063,0.0008290775],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7677744,"threshold_uncertainty_score":0.9973409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002557113483103787,"score_gpt":0.2263870850552981,"score_spread":0.2238299715721944,"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."}}