{"id":"W4244385616","doi":"10.1515/iupac.76.0213","title":"Dose–Effect Curve","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Radioactive Decay and Measurement Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Toxicokinetics; Hazard; Relation (database); Multidisciplinary approach; Computer science; Toxicology; Medicine; Pharmacology; Chemistry; Data mining; Biology; Political science; Linguistics; Philosophy; Law","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":[0.002740056,0.001716515,0.002311045,0.003928363,0.0004411724,0.002320134,0.002589757,0.00169558,0.1112316],"category_scores_gemma":[0.0256713,0.0006380131,0.003313848,0.004938749,0.0003389135,0.001681587,0.001262545,0.002099823,0.06566982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001655421,"about_ca_system_score_gemma":0.002117194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007702021,"about_ca_topic_score_gemma":0.01290009,"domain_scores_codex":[0.9970078,0.0005968839,0.000599577,0.001033403,0.0006180577,0.0001443103],"domain_scores_gemma":[0.9876577,0.006970856,0.001616143,0.001753947,0.001710295,0.0002910901],"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":[0.0005887281,0.0001062957,0.005322579,0.006680191,0.0005263262,0.00004285912,0.00003580238,0.001241037,0.0003128103,0.001202627,0.9601495,0.02379125],"study_design_scores_gemma":[0.0006657778,0.000132135,0.01485682,0.001595672,0.0004011899,0.0002285854,0.00004617383,0.0007443321,0.0006138998,0.003307744,0.9773361,0.00007158858],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002275473,0.0005201976,0.0003210205,0.00008581615,0.00004819325,0.00004743672,0.9973532,0.00034309,0.001053541],"genre_scores_gemma":[0.002265547,0.0006948789,0.001458501,0.0003206024,0.00004553701,0.0004780403,0.9923698,0.0002548632,0.00211221],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1112316,"threshold_uncertainty_score":0.3721069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01381739836186243,"score_gpt":0.3934252996199699,"score_spread":0.3796079012581074,"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."}}