{"id":"W4234213620","doi":"10.1515/iupac.81.0195","title":"Concentration – Response Curve","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Environmental risk assessment; Ecology; Computer science; Risk assessment; Biology; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009765291,0.0002836542,0.0004551348,0.00001689176,0.0001737432,0.00007825856,0.0003703478,0.0003070994,0.007518334],"category_scores_gemma":[0.0008167264,0.00008730133,0.000223814,0.0002369071,0.00009256546,0.00008164751,0.00008565904,0.0002195111,0.000006284053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001730855,"about_ca_system_score_gemma":0.000139452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003101722,"about_ca_topic_score_gemma":0.003528628,"domain_scores_codex":[0.9976729,0.000351583,0.0004084708,0.0004332939,0.0007771433,0.0003566049],"domain_scores_gemma":[0.9985647,0.0005087894,0.0002551683,0.0001656662,0.0003451681,0.0001604927],"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":[0.0005264302,0.00007745592,0.00004778662,0.0000061955,0.00004306821,0.00003140486,0.00000166519,5.111131e-7,0.001805793,0.000003644846,0.9857606,0.01169549],"study_design_scores_gemma":[0.0001784942,0.0002678198,0.004630783,0.0001049438,0.00007744195,0.000005139506,0.00001130556,0.00000371391,0.00005941953,0.00008810212,0.9942976,0.0002752965],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01174251,0.0004778098,0.000005674206,0.002613882,0.0001634278,0.0001428243,0.9847955,0.00003784628,0.00002049108],"genre_scores_gemma":[0.001785348,0.001176811,0.000003542379,0.0003183375,0.0008807001,0.000006369235,0.9955589,0.000001177233,0.0002688309],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0114202,"threshold_uncertainty_score":0.993389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01638136231641713,"score_gpt":0.3589634247179795,"score_spread":0.3425820624015624,"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."}}