{"id":"W114440510","doi":"","title":"CSIR contribution to the 2010 state of engineering infrastructure in South Africa report card","year":2010,"lang":"en","type":"article","venue":"","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Documentation; Government (linguistics); Business; Sanitation; Report card; Critical infrastructure; Quarter (Canadian coin); Private sector; Engineering; Finance; Economic growth; Computer security; Computer science; Geography; Sociology; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.00181857,0.00007752844,0.000144803,0.0002955155,0.000044856,0.0000774096,0.0003410702,0.00003403733,0.0002898477],"category_scores_gemma":[0.001167717,0.00004476896,0.0000442924,0.0009330231,0.00003192776,0.0001737579,0.0001248045,0.0002028735,0.00004749051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009961061,"about_ca_system_score_gemma":0.00003708617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002180765,"about_ca_topic_score_gemma":0.0002931089,"domain_scores_codex":[0.9986339,0.0000192483,0.0004703837,0.0002010519,0.0005135082,0.0001619115],"domain_scores_gemma":[0.9990219,0.0001221733,0.0001438879,0.0004549265,0.000214854,0.00004220278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001467798,0.00003005506,0.7237494,0.0000154912,0.00005014327,0.00003725628,0.01457858,0.02484403,0.0171926,0.01116409,0.02687728,0.1813143],"study_design_scores_gemma":[0.0003278588,0.00003526386,0.6081998,0.000007109446,0.000006224278,0.00002260324,0.0004690519,0.01304896,0.003829531,0.002080626,0.3717982,0.0001747844],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866994,0.000006581522,0.008264464,0.0005377459,0.001355566,0.0002400429,0.000008909663,0.00002376225,0.002863496],"genre_scores_gemma":[0.9963089,0.000001053712,0.0008711949,0.00003357401,0.00004775702,0.000008492508,0.000001546955,0.000003084961,0.002724451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.344921,"threshold_uncertainty_score":0.3173629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02225312415833081,"score_gpt":0.2870921040716105,"score_spread":0.2648389799132797,"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."}}