{"id":"W2283767481","doi":"10.1002/j.1551-8701.2008.tb01955.x","title":"Pipe End‐Covers Reduce Contamination","year":2008,"lang":"en","type":"article","venue":"Opflow","topic":"Water Systems and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cover (algebra); Mains electricity; Engineering; Environmental science; Mechanical engineering; Electrical engineering","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":[0.0004872148,0.0004977994,0.0003103062,0.0007216302,0.0009144556,0.0008691782,0.0006480172,0.0006093459,0.006301491],"category_scores_gemma":[0.001243982,0.0002129221,0.0005292724,0.0004598513,0.0005036127,0.0005088846,0.0009900111,0.0003651327,0.001295996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002186837,"about_ca_system_score_gemma":0.002146326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05553526,"about_ca_topic_score_gemma":0.1523053,"domain_scores_codex":[0.9985749,0.0001518853,0.00003289202,0.00009235006,0.0009274861,0.0002205998],"domain_scores_gemma":[0.998969,0.0001549755,0.0001922729,0.00008288631,0.0005455066,0.00005531528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009386937,0.0004245024,0.04570681,0.001494065,0.0001297804,0.0005493889,0.001052705,0.08271994,0.4205626,0.009503749,0.02671332,0.4102044],"study_design_scores_gemma":[0.0001015094,0.002614776,0.2110549,0.000318654,0.0002960046,0.0006140137,0.001098123,0.02101853,0.401441,0.004808522,0.3565242,0.0001098281],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7753223,0.003289954,0.08979333,0.001688931,0.0002599091,0.0004978697,0.001227899,0.001459719,0.1264601],"genre_scores_gemma":[0.9311699,0.001937317,0.02278004,0.0003776816,0.00004688932,0.0001092424,0.0006075664,0.0002044051,0.04276705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05553526,"threshold_uncertainty_score":0.110424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00961091324544786,"score_gpt":0.181857141193203,"score_spread":0.1722462279477552,"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."}}