{"id":"W4240517804","doi":"10.1515/iupac.81.0272","title":"Dose–Effect Curve","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Environmental risk assessment; Computer science; Ecology; Risk assessment; Biology; Data mining; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005148198,0.002197444,0.003203493,0.004786959,0.0004703283,0.00309919,0.00369591,0.002774782,0.0955516],"category_scores_gemma":[0.0356093,0.0006311187,0.004883783,0.00506803,0.0004577235,0.002211131,0.001492304,0.003373472,0.06040616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002636673,"about_ca_system_score_gemma":0.002326825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01003468,"about_ca_topic_score_gemma":0.01620002,"domain_scores_codex":[0.9956895,0.0009598605,0.0007050704,0.001403482,0.000986719,0.0002554008],"domain_scores_gemma":[0.9826984,0.009517955,0.002079468,0.002357424,0.002928855,0.0004178764],"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":[0.001164185,0.0002314329,0.01298543,0.007009789,0.001097946,0.00007274774,0.00003747651,0.003833315,0.0003698129,0.001992238,0.9407716,0.03043406],"study_design_scores_gemma":[0.001337297,0.0003211965,0.024829,0.001637384,0.0008817749,0.000585096,0.00007540548,0.003045496,0.001135243,0.006671454,0.9593433,0.000137293],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006265903,0.001121711,0.0004674341,0.0002460804,0.0001048099,0.00007964246,0.9949891,0.0004856973,0.001878923],"genre_scores_gemma":[0.007536843,0.001282562,0.002116563,0.0006654692,0.00008676032,0.0004492744,0.9840614,0.0002994406,0.003501692],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0955516,"threshold_uncertainty_score":0.3196519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008428146523253303,"score_gpt":0.3578337090682494,"score_spread":0.3494055625449961,"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."}}