{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006569006,0.001269626,0.0006194182,0.01131699,0.001947903,0.008096395,0.001888035,0.001866369,0.03608619],"category_scores_gemma":[0.02890266,0.001098535,0.0004360591,0.01072542,0.0006741956,0.00330864,0.003950828,0.002435549,0.01767055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009322005,"about_ca_system_score_gemma":0.0337201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09831495,"about_ca_topic_score_gemma":0.04552658,"domain_scores_codex":[0.9932509,0.0005978317,0.0009410516,0.0003499078,0.003793408,0.001066749],"domain_scores_gemma":[0.9717907,0.002062815,0.002745575,0.00151536,0.01918122,0.002704429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001251035,0.0001033534,0.004887057,0.001547755,0.00001668486,0.0004975373,0.001404044,0.0006858344,0.001396514,0.01081905,0.8994987,0.07901832],"study_design_scores_gemma":[0.000007912425,0.00002038518,0.0101531,0.0003530296,0.00000822657,0.0001137704,0.00083771,0.0001881066,0.0007831831,0.000315367,0.9871947,0.00002455897],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05256048,0.0114832,0.004556884,0.07478944,0.02523499,0.004072757,0.2300075,0.002689422,0.5946053],"genre_scores_gemma":[0.1707814,0.03139802,0.02310545,0.004874434,0.004320631,0.003550902,0.2243282,0.001835829,0.535805],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09831495,"threshold_uncertainty_score":0.1954854,"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."}}