{"id":"W4236149138","doi":"10.1515/iupac.81.0229","title":"Dechlorinated Water","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Magnetic and Electromagnetic Effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Environmental risk assessment; Environmental science; Ecology; Computer science; Environmental chemistry; Risk assessment; Biology; Chemistry; Data mining; Philosophy; Linguistics","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":[0.001022963,0.001498107,0.001205257,0.002734001,0.0006629147,0.001925805,0.002244396,0.001704972,0.03186701],"category_scores_gemma":[0.00529416,0.0005349913,0.001221355,0.00562262,0.0003977352,0.001417656,0.001667354,0.001718873,0.04093793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001606109,"about_ca_system_score_gemma":0.002205457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01987207,"about_ca_topic_score_gemma":0.03717691,"domain_scores_codex":[0.9986743,0.0001957914,0.0001885071,0.0004751693,0.0003340027,0.0001322662],"domain_scores_gemma":[0.9979219,0.0005490187,0.0003631541,0.0005179117,0.0005184865,0.0001296253],"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":[0.0002342231,0.00005781206,0.004977335,0.003966335,0.000116807,0.00007408646,0.00004310283,0.001050237,0.0006338311,0.001205209,0.9735364,0.01410468],"study_design_scores_gemma":[0.0002154475,0.00002849661,0.01007527,0.0006865647,0.00006218317,0.0001223464,0.00007499163,0.0005389514,0.0011704,0.001795348,0.9851939,0.00003594063],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00028034,0.000182047,0.0001001618,0.00005519726,0.00002042036,0.00001042323,0.9985217,0.0001445659,0.0006851382],"genre_scores_gemma":[0.000595679,0.0001583108,0.000329346,0.00005297071,0.000004142384,0.00004154413,0.9982319,0.00002535317,0.0005606832],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03186701,"threshold_uncertainty_score":0.1066057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005019986604671696,"score_gpt":0.3394034627735678,"score_spread":0.3343834761688961,"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."}}