{"id":"W2327017381","doi":"10.1061/40994(321)119","title":"AC Enigma: Using Opportunistic Sampling to Assess Asbestos-Cement Water Main Performance in Winnipeg","year":2008,"lang":"en","type":"article","venue":"","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; RTDS Technologies (Canada); Research Manitoba","funders":"","keywords":"Mains electricity; Asbestos cement; Cement; Environmental science; Water supply; Work (physics); Investment (military); Forensic engineering; Engineering; Asbestos; Civil engineering; Environmental engineering; Geography; Archaeology; Materials science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001159463,0.0005616792,0.0002731692,0.001355484,0.001707642,0.001114529,0.001269379,0.0003594898,0.0006960074],"category_scores_gemma":[0.002310905,0.0004357527,0.000240954,0.0008969291,0.0006712628,0.000258684,0.001538303,0.0003580468,0.0001803094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00551986,"about_ca_system_score_gemma":0.005426364,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8021631,"about_ca_topic_score_gemma":0.9292907,"domain_scores_codex":[0.9988956,0.0002597514,0.00003981023,0.0002117291,0.000355036,0.0002379953],"domain_scores_gemma":[0.999112,0.00009475724,0.0001477854,0.00005603408,0.0004081762,0.0001812501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006282351,0.0005720418,0.8684115,0.0002549673,0.0001804427,0.00199334,0.02812002,0.00076264,0.01716962,0.000780998,0.002403765,0.07872246],"study_design_scores_gemma":[0.00003657687,0.0008237243,0.9465413,0.00007772547,0.00008022977,0.000504313,0.02678307,0.002710138,0.003091358,0.0002986987,0.01900752,0.00004529179],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939721,0.0002278325,0.001845606,0.0001063337,0.00001203458,0.0009566728,0.0005098424,0.00001777675,0.002351688],"genre_scores_gemma":[0.9809012,0.0005010767,0.01166988,0.0003202379,0.0000112135,0.0006605872,0.0007083472,0.00001884208,0.005208672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1978369,"threshold_uncertainty_score":0.3980041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1434220542388029,"score_gpt":0.2834666766236161,"score_spread":0.1400446223848133,"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."}}