{"id":"W4245297223","doi":"10.1515/iupac.81.0855","title":"Spiked Bioassay (SB) Approach","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Environmental risk assessment; Relation (database); Environmental chemistry; Ecology; Computer science; Risk assessment; Biology; Data mining; Chemistry; 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":[0.003922348,0.002719724,0.002196374,0.004549242,0.0008749206,0.003847073,0.004824178,0.002633573,0.04698073],"category_scores_gemma":[0.01474026,0.0007760248,0.003311244,0.005049766,0.0005121073,0.001999459,0.002862589,0.002404117,0.0689822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001718063,"about_ca_system_score_gemma":0.003313101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01450952,"about_ca_topic_score_gemma":0.02848959,"domain_scores_codex":[0.9947912,0.00100592,0.0007938857,0.001732739,0.001336586,0.0003397411],"domain_scores_gemma":[0.9932914,0.002124845,0.0007656642,0.002047677,0.001538895,0.0002316481],"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":[0.0006288469,0.0002282314,0.01406794,0.004677659,0.000527764,0.0001221984,0.00005145386,0.002972085,0.001237588,0.002910626,0.9319056,0.04066994],"study_design_scores_gemma":[0.000381662,0.0001375387,0.01019816,0.0006145351,0.0002731056,0.0002584711,0.00009394992,0.003541537,0.002707407,0.007344148,0.9743493,0.0001001466],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007271474,0.0004579569,0.001599625,0.0001531874,0.00008661456,0.0001128266,0.9931652,0.001328336,0.002369183],"genre_scores_gemma":[0.002590167,0.0003221472,0.004064776,0.0002628702,0.00002592509,0.0003766386,0.9900172,0.0001993963,0.00214076],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04698073,"threshold_uncertainty_score":0.1571662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0114910721134908,"score_gpt":0.3459988464938855,"score_spread":0.3345077743803947,"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."}}