{"id":"W2993064350","doi":"10.2175/193864716819705898","title":"Surprising Results: York YDSS SEC Trunk Sanitary Sewer and Access Chambers Condition Assessment","year":2016,"lang":"en","type":"article","venue":"Proceedings of the Water Environment Federation","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Forensic engineering; Sanitary sewer; Trunk; Environmental science; Engineering; Waste management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001989226,0.0003130557,0.0003015815,0.001041305,0.000851327,0.001922608,0.0004535976,0.0008733065,0.006705829],"category_scores_gemma":[0.006383719,0.0002145072,0.0002360622,0.001080733,0.0006016831,0.0009898409,0.0008742857,0.0006570613,0.001341819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002647365,"about_ca_system_score_gemma":0.002036856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2892446,"about_ca_topic_score_gemma":0.5896003,"domain_scores_codex":[0.998189,0.0002692834,0.0000962176,0.000325913,0.0009897505,0.0001297073],"domain_scores_gemma":[0.9941947,0.00143814,0.000306518,0.0004789749,0.003297339,0.0002843165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008139717,0.000209891,0.8088033,0.0002248896,0.0002420792,0.0006098879,0.001375079,0.006716846,0.0179746,0.004275831,0.08485624,0.0738974],"study_design_scores_gemma":[0.00003675998,0.0002005866,0.943293,0.00005200581,0.0001263937,0.0001367119,0.003390323,0.008577459,0.01015143,0.0006967259,0.03329975,0.00003872909],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9001625,0.000390121,0.004912817,0.003832486,0.0004948349,0.0001612117,0.01052705,0.0004146469,0.07910433],"genre_scores_gemma":[0.9767482,0.000115314,0.002537798,0.0005529797,0.00006211098,0.00004139236,0.003852949,0.0000777246,0.01601155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2892446,"threshold_uncertainty_score":0.5751219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006529524075073126,"score_gpt":0.1923084660178226,"score_spread":0.1857789419427494,"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."}}