{"id":"W4229865974","doi":"10.1515/iupac.79.1168","title":"Dose–Response Relationship","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Hazard; Computer science; Multidisciplinary approach; Toxicology; Chemistry; Biology; Philosophy; Linguistics; Sociology; Social science","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":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001297344,0.0004242066,0.0006544323,0.0005328292,0.0001803221,0.00004476336,0.0001838278,0.0005373695,0.001325196],"category_scores_gemma":[0.01177851,0.0003238879,0.0002414133,0.0003921257,0.000147916,0.00007695724,0.00009176382,0.0008993939,0.00002940447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006391019,"about_ca_system_score_gemma":0.001421689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005603478,"about_ca_topic_score_gemma":0.0001349742,"domain_scores_codex":[0.9971645,0.0002251091,0.000595485,0.0005331784,0.00106786,0.0004138905],"domain_scores_gemma":[0.99699,0.0009789715,0.0003037465,0.000974843,0.0005844654,0.0001679687],"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":[0.003067991,0.0001629813,0.0001803533,0.0001239307,0.00008921951,0.0002799369,0.00001179847,1.015539e-7,0.001110237,0.000003998118,0.9927319,0.002237595],"study_design_scores_gemma":[0.002855744,0.0005193263,0.001165578,0.0009058667,0.0002595144,0.0003592378,0.00001954989,0.000006499841,0.0009239904,0.00008510734,0.9925492,0.000350401],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01189631,0.0004187926,0.000131822,0.001190655,0.0008603198,0.0004226535,0.9846748,0.0002526918,0.0001519224],"genre_scores_gemma":[0.001165888,0.00004008624,0.0001675641,0.001991742,0.001334823,0.00002206626,0.994241,0.00007118171,0.000965632],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01073042,"threshold_uncertainty_score":0.9999213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04502577651846953,"score_gpt":0.4442013327098705,"score_spread":0.399175556191401,"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."}}