{"id":"W4244261336","doi":"10.1515/iupac.79.1053","title":"Concentration–Response Relationship","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemical Safety and Risk Management","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Multidisciplinary approach; Hazard; Computer science; Toxicology; Chemistry; Biology; Philosophy; Linguistics; Social science; Sociology","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":[0.002449022,0.00220232,0.002595081,0.004540746,0.0005408085,0.002817219,0.002902449,0.002179098,0.0963797],"category_scores_gemma":[0.02290011,0.0007040197,0.003963864,0.006715533,0.0003477625,0.001896414,0.001405129,0.00207203,0.0704798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001705567,"about_ca_system_score_gemma":0.002549381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01125135,"about_ca_topic_score_gemma":0.01671561,"domain_scores_codex":[0.9956806,0.0005955194,0.000980983,0.001703813,0.0008074127,0.0002317416],"domain_scores_gemma":[0.9909099,0.00445865,0.001251313,0.00155733,0.001626752,0.000196084],"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":[0.0007166829,0.0001352793,0.01590991,0.007521722,0.0008569411,0.00008685648,0.00004210886,0.001656718,0.0004419543,0.001465598,0.9424606,0.0287056],"study_design_scores_gemma":[0.0007154671,0.0001294507,0.02587878,0.00143214,0.000706893,0.0003254414,0.00006042794,0.001397266,0.0007415661,0.003997716,0.964513,0.0001017793],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003638346,0.0005944511,0.0002404609,0.0001109105,0.00006352226,0.00004859763,0.9972664,0.0001962287,0.001115562],"genre_scores_gemma":[0.00322114,0.0007286431,0.001026181,0.0003732688,0.00006861461,0.000445867,0.9919271,0.00008165315,0.002127435],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0963797,"threshold_uncertainty_score":0.3224222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01453187401547094,"score_gpt":0.3610812068653039,"score_spread":0.346549332849833,"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."}}