{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002552921,0.0001628397,0.0001962717,0.0001154803,0.00008455235,0.0000215314,0.0001214482,0.00005788765,0.0005309934],"category_scores_gemma":[0.00002307729,0.0001348104,0.00003799559,0.0001416101,0.00002058279,0.000130908,0.00007702976,0.000143617,0.00007018944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002103051,"about_ca_system_score_gemma":0.00003299724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000326681,"about_ca_topic_score_gemma":0.00003695982,"domain_scores_codex":[0.9988897,0.0000178588,0.000322275,0.0002149806,0.0001723881,0.0003827284],"domain_scores_gemma":[0.9995034,0.00003482937,0.000009539603,0.0002733167,0.00002681077,0.0001521377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007222487,0.0000904526,0.1446939,0.0003327118,0.00001926444,0.0001510969,0.002911239,0.1870268,0.655592,0.0002825481,0.0004538065,0.008374026],"study_design_scores_gemma":[0.00132,0.0001475488,0.1047879,0.000196748,0.0000246201,0.0001774571,0.0005396944,0.7921665,0.07898051,0.00004299815,0.02018351,0.001432478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9540359,0.00001160479,0.04316221,0.00004637943,0.000253642,0.0001954253,0.000003092258,0.0001571381,0.00213463],"genre_scores_gemma":[0.9948096,0.00002148245,0.004678294,0.0001736527,0.0000387967,0.00001510772,0.000009444854,0.00002361561,0.0002300652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6051397,"threshold_uncertainty_score":0.5814006,"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."}}