{"id":"W4242160219","doi":"10.1515/iupac.81.0617","title":"Multigeneration Study","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Computer science; Ecology; Biology; Data mining; Philosophy; Linguistics","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":[0.003347115,0.001111715,0.001668369,0.002999542,0.001470101,0.002283812,0.002762195,0.002229154,0.115406],"category_scores_gemma":[0.02223963,0.0005100748,0.002409469,0.004417372,0.000356579,0.001584789,0.002653915,0.002256688,0.04434343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001573394,"about_ca_system_score_gemma":0.00239252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01917806,"about_ca_topic_score_gemma":0.03880551,"domain_scores_codex":[0.9972283,0.0007905907,0.0004439433,0.0008890936,0.0003652739,0.0002827249],"domain_scores_gemma":[0.991608,0.002716665,0.001142425,0.002110353,0.001892951,0.0005296325],"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":[0.0006532042,0.00008396964,0.03291492,0.002113483,0.0006229495,0.0002326882,0.0001316188,0.0003723178,0.0001055703,0.002711516,0.9439018,0.01615597],"study_design_scores_gemma":[0.0007284369,0.0001042852,0.05072273,0.002694944,0.0008516643,0.0009410914,0.0003902256,0.0006429558,0.0002986637,0.007611105,0.9349277,0.00008629655],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002439261,0.001145646,0.0007458688,0.000644067,0.0001657006,0.0001801224,0.9903234,0.0001687731,0.004187122],"genre_scores_gemma":[0.01028737,0.0007869166,0.001974635,0.0009140352,0.0001010507,0.001164096,0.9776806,0.0001283202,0.006963007],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.115406,"threshold_uncertainty_score":0.3860714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01769231235117566,"score_gpt":0.4114098795038069,"score_spread":0.3937175671526312,"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."}}