{"id":"W7002320176","doi":"","title":"New research project identifies key areas of research needed for drinking water infrastructure","year":2006,"lang":"en","type":"article","venue":"NPARC","topic":"Water Systems and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Key (lock); Water supply; Potable water; Water resources; Government (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008656047,0.00009097336,0.0001534482,0.0004053482,0.0001220181,0.0001174878,0.0001913127,0.0001072082,0.00007832685],"category_scores_gemma":[0.00003550277,0.00006925606,0.00004334799,0.0003257009,0.00004264611,0.0001451199,0.00006352828,0.0002104745,0.00001086091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006781355,"about_ca_system_score_gemma":0.00004555664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008245009,"about_ca_topic_score_gemma":0.0004391731,"domain_scores_codex":[0.9986205,0.00006889617,0.0002503235,0.0001609271,0.0004531126,0.0004462469],"domain_scores_gemma":[0.9993203,0.00007510746,0.00001262099,0.0002261617,0.0003308181,0.00003493487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004871998,0.00001439101,0.001549078,0.0006768475,0.00004184496,0.00000415782,0.004641888,0.04931056,0.2050705,0.002885289,0.7349633,0.0007933988],"study_design_scores_gemma":[0.0009783544,0.0001103173,0.002055069,0.0003043146,0.00001107184,0.000008601536,0.001183903,0.03524778,0.8505586,0.04940659,0.05983974,0.0002956137],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8677509,0.0001999623,0.04506436,0.0003270843,0.0009713665,0.002163668,0.00001748057,0.0003474249,0.08315773],"genre_scores_gemma":[0.9833379,0.000005906644,0.006034442,0.000001541215,0.0004869211,0.00005931747,0.00004031067,0.00003856754,0.009995144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6751236,"threshold_uncertainty_score":0.282418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03790548705563525,"score_gpt":0.3083024721621015,"score_spread":0.2703969851064663,"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."}}