{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002467146,0.0004377268,0.0005250156,0.0001200312,0.00005821534,0.00005062876,0.0003033027,0.0003555907,0.00112619],"category_scores_gemma":[0.0001131421,0.0002982506,0.0002135386,0.0003410525,0.00008341526,0.00008101862,0.00003203324,0.0004734665,0.000006123655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002198435,"about_ca_system_score_gemma":0.0001119669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001589269,"about_ca_topic_score_gemma":0.00009899239,"domain_scores_codex":[0.9981675,0.00005571914,0.0003417223,0.0003058228,0.0006366889,0.0004926134],"domain_scores_gemma":[0.9990746,0.0001288304,0.00006535584,0.0004287527,0.0001409737,0.0001614384],"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":[0.00003411091,0.00002994855,0.00002223973,0.000188303,0.0001133162,0.00002606037,0.000001652484,0.000008202818,0.00007041122,0.000003365223,0.989548,0.009954398],"study_design_scores_gemma":[0.0005580693,0.0002731773,0.00002400369,0.0001981878,0.00008037761,0.000006513677,5.053099e-7,0.0000687809,0.000417524,0.00005648083,0.9978898,0.0004266025],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002449539,0.003165255,0.0002787449,0.00008312822,0.0008598603,0.0002741357,0.994659,0.0003229295,0.0001120044],"genre_scores_gemma":[0.0003184165,0.002788286,0.00001338207,0.00007808603,0.001048613,0.00002202396,0.9956249,0.00004057525,0.00006570295],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.009527796,"threshold_uncertainty_score":0.999947,"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."}}