{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003451957,0.0004652406,0.0004039642,0.00009375121,0.00008455256,0.00003465731,0.0004460673,0.0006316703,0.003150393],"category_scores_gemma":[0.0002075563,0.000293891,0.0001696123,0.00005837882,0.0001397271,0.00000185766,0.0002753838,0.0002528777,0.000008746119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000838269,"about_ca_system_score_gemma":0.0003960307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006567346,"about_ca_topic_score_gemma":0.0002538394,"domain_scores_codex":[0.9977694,0.00009564361,0.0003253434,0.0006510876,0.0004990909,0.0006594125],"domain_scores_gemma":[0.9984879,0.00001496298,0.00008992116,0.0009324763,0.0002933817,0.0001813303],"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":[0.0002401736,0.00007801294,0.000001893103,0.00008728009,0.00008685937,0.00003556557,0.00000183156,4.665929e-7,0.03276341,0.000001684532,0.9643322,0.002370659],"study_design_scores_gemma":[0.000964758,0.001748802,0.000007802176,0.00007354275,0.00008783262,0.00004145661,0.000002099373,9.800764e-7,0.02892196,0.00004815598,0.967627,0.000475559],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005628993,0.001044817,0.0001187242,0.0002851406,0.000512098,0.0002912569,0.9919302,0.00002523737,0.0001634669],"genre_scores_gemma":[0.0003673699,0.001325367,0.00003239012,0.0003787764,0.001218024,0.00003117749,0.9928753,0.00004929181,0.003722326],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.005261623,"threshold_uncertainty_score":0.9999513,"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."}}