{"id":"W2507673275","doi":"10.1149/07516.0315ecst","title":"Mobile Water Kit 2.0: A Field Deployable Solution for E. coli Detection in Potable Water","year":2016,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Potable water; Escherichia coli; Water source; Environmental science; Chemistry; Food science; Environmental engineering; Biochemistry; Water resource 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":[0.0006672509,0.001042248,0.0004527848,0.0008750779,0.0002473357,0.000540794,0.0007490987,0.0008551038,0.002689885],"category_scores_gemma":[0.000660108,0.0004205544,0.0003285442,0.0003368351,0.0004155671,0.0006966614,0.000539744,0.0007079273,0.001839742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000210252,"about_ca_system_score_gemma":0.0004434598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005354484,"about_ca_topic_score_gemma":0.001239252,"domain_scores_codex":[0.9993067,0.000122457,0.00003987321,0.0001297368,0.0003422014,0.00005894812],"domain_scores_gemma":[0.9996748,0.00006905011,0.0001034634,0.00002593974,0.00008639359,0.00004035197],"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":[0.00005502417,0.00003616397,0.0002868519,0.0001407958,0.000007576319,0.00007050006,0.0000281753,0.00006083394,0.9901869,0.0001119301,0.0004894874,0.008525693],"study_design_scores_gemma":[0.00002482928,0.0008358387,0.001833386,0.00002532839,0.00002055326,0.0006786471,0.00004588089,0.001071836,0.9830169,0.00006855472,0.01234057,0.0000377249],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.596189,0.006332761,0.3767928,0.001510436,0.0006265184,0.001547542,0.002501084,0.00530619,0.009193674],"genre_scores_gemma":[0.6082085,0.003955925,0.3543548,0.000962409,0.0001055659,0.001277315,0.003263095,0.0003981987,0.02747425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002689885,"threshold_uncertainty_score":0.008998632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01792694642931873,"score_gpt":0.2375659892183742,"score_spread":0.2196390427890554,"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."}}