{"id":"W4229962424","doi":"10.1515/iupac.81.0060","title":"Ambient Monitoring","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Computer science; Environmental science; Ecology; Biology; Data mining; Linguistics; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006105374,0.0003847369,0.0004676714,0.00008968916,0.0001737042,0.00007780748,0.0005857377,0.0002411982,0.005126724],"category_scores_gemma":[0.0001464143,0.0002809822,0.0002194232,0.0002165255,0.0001739376,0.0001130217,0.0004610799,0.0003474434,0.00005839401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009442793,"about_ca_system_score_gemma":0.00004921559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001435827,"about_ca_topic_score_gemma":0.0000592768,"domain_scores_codex":[0.996797,0.0001054275,0.0004318556,0.0006245448,0.001540247,0.000500884],"domain_scores_gemma":[0.9985968,0.00004800638,0.0002023333,0.000886309,0.00003892597,0.0002275563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001689723,0.0001167438,0.0006036911,0.00002515346,0.00005706568,0.00003501079,0.00001596222,0.00001512552,0.000336338,1.578756e-7,0.9962742,0.002503654],"study_design_scores_gemma":[0.0002453738,0.00006359977,0.0003611025,0.0002101753,0.0001108962,0.000003024852,0.00002111932,0.00000126266,0.001331686,0.00005272219,0.9972077,0.0003913503],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003861289,0.00008864438,0.0000459889,0.0003287065,0.00112576,0.00009316425,0.994359,0.00006733866,0.00003011766],"genre_scores_gemma":[0.0006384944,0.0003340576,0.00007270784,0.00002933394,0.001733068,0.00001233332,0.9953769,0.00003135173,0.001771757],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.00506833,"threshold_uncertainty_score":0.9999642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01990768222481247,"score_gpt":0.3855141244593512,"score_spread":0.3656064422345387,"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."}}