{"id":"W4231226948","doi":"10.1515/iupac.79.1624","title":"Microsome","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; Chemical nomenclature; Toxicology; Computer science; Chemistry; Philosophy; Biology; Organic chemistry; 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":[0.0009120161,0.002449336,0.00173845,0.003636375,0.001139248,0.003096766,0.003299882,0.002101094,0.09020327],"category_scores_gemma":[0.006705042,0.0006826373,0.002162077,0.005342179,0.0003993005,0.002197759,0.002776702,0.00184727,0.1490802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001422637,"about_ca_system_score_gemma":0.002727448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01688615,"about_ca_topic_score_gemma":0.04061574,"domain_scores_codex":[0.9987239,0.0001824726,0.0001704235,0.0004694217,0.0002884151,0.0001654374],"domain_scores_gemma":[0.9980221,0.0004793613,0.0002227909,0.000590169,0.0005097851,0.0001757272],"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":[0.0001686555,0.00002242267,0.001393162,0.001610956,0.0000780835,0.00003533735,0.0000287111,0.0003600612,0.0002131668,0.0009360441,0.9884557,0.006697703],"study_design_scores_gemma":[0.0001545496,0.00002158523,0.003233121,0.0004192713,0.00006232024,0.00008693673,0.0000472798,0.0003657409,0.0003751981,0.001746835,0.9934559,0.00003123109],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001286638,0.0001960286,0.0001113798,0.00008368131,0.0000319523,0.00001553761,0.9977286,0.0005658725,0.001138291],"genre_scores_gemma":[0.0003136944,0.0001374657,0.0003125054,0.00008946619,0.000008524139,0.00006398863,0.9983152,0.00007342596,0.0006856217],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09020327,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01166440644591182,"score_gpt":0.385141948973121,"score_spread":0.3734775425272092,"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."}}