{"id":"W4245114191","doi":"10.1515/iupac.79.1050","title":"Concentration–Effect Curve","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Hazard; Toxicology; Chemistry; Philosophy; Biology; Linguistics; Organic chemistry","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":[0.003810112,0.002771392,0.00349451,0.005523437,0.0005239377,0.003413379,0.003536809,0.002837001,0.06814472],"category_scores_gemma":[0.02400198,0.000670378,0.005087714,0.005529855,0.0004711477,0.00217011,0.00132591,0.002555036,0.07500383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002043455,"about_ca_system_score_gemma":0.002566644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01076257,"about_ca_topic_score_gemma":0.01454096,"domain_scores_codex":[0.9962862,0.0005305072,0.0006277684,0.001613523,0.0007339153,0.0002081964],"domain_scores_gemma":[0.9918617,0.003724212,0.0009742578,0.001407922,0.00182104,0.0002108906],"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":[0.0009999054,0.0001962354,0.01080775,0.007273048,0.001145657,0.00008877302,0.00002795387,0.003755789,0.0004857898,0.001423804,0.9337983,0.03999715],"study_design_scores_gemma":[0.001220484,0.0002593707,0.02237393,0.001578877,0.001035578,0.000488042,0.00005594172,0.004581013,0.001419471,0.005986879,0.9608396,0.0001608807],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005202249,0.001208559,0.0006319572,0.0001496628,0.0001244291,0.00008785704,0.9952253,0.0006426438,0.00140924],"genre_scores_gemma":[0.003806683,0.0009558727,0.001777301,0.0003808139,0.00009130657,0.0004426795,0.9900457,0.0001931838,0.002306515],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06814472,"threshold_uncertainty_score":0.2279668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005686315901196259,"score_gpt":0.3283111331451275,"score_spread":0.3226248172439312,"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."}}