{"id":"W4229514270","doi":"10.1016/s0015-1882(17)30112-x","title":"Microbial monitoring solutions at Ontario Water Conference","year":2017,"lang":"en","type":"article","venue":"Filtration & Separation","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Environmental science; Environmental engineering; Engineering; Waste management","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00020822,0.0001252979,0.0000956756,0.00002275095,0.001366818,0.0002957741,0.0003573343,0.0001135989,0.00171626],"category_scores_gemma":[0.00003759572,0.0001083394,0.00003726167,0.00002016201,0.0001787616,0.0009457827,0.0003349983,0.0001248574,0.002492998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006724647,"about_ca_system_score_gemma":0.00001548012,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009649075,"about_ca_topic_score_gemma":0.02582929,"domain_scores_codex":[0.9989804,0.00003246076,0.0002068687,0.0002866669,0.0002158979,0.0002777116],"domain_scores_gemma":[0.9992357,0.000009586372,0.0001129984,0.0005809669,0.00001924278,0.00004147668],"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":[0.00001584207,0.0000302115,0.1429964,0.000002367725,0.000006031119,0.000001133492,0.00211598,0.0005020399,0.8485657,0.0001394892,0.005191681,0.0004330935],"study_design_scores_gemma":[0.0001688121,0.00003604378,0.3132096,0.000009165155,0.000008745351,0.000004277494,0.00003003775,0.000135208,0.6663318,0.0007298173,0.01916964,0.0001668979],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895264,0.000001677268,0.00108049,0.001020411,0.0007050034,0.0001834176,0.000005223023,0.0001578145,0.007319572],"genre_scores_gemma":[0.9822494,0.000002607861,0.001590755,0.000008092901,0.0001255905,0.00003778092,0.00005457745,0.000007861251,0.01592329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1822339,"threshold_uncertainty_score":0.9999332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09022241713722876,"score_gpt":0.3017674406128188,"score_spread":0.21154502347559,"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."}}