{"id":"W4250318485","doi":"10.1515/iupac.87.0403","title":"Myelin Sheath","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Immunotoxicology and immune responses","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Relation (database); Chemical nomenclature; Computer science; Psychology; Engineering ethics; Neuroscience; Chemistry; Linguistics; Engineering; Philosophy; Organic chemistry; Data mining","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":[0.000758348,0.001221008,0.00117186,0.004115541,0.0007239056,0.002529747,0.001536856,0.001145745,0.08120003],"category_scores_gemma":[0.006980904,0.0004564975,0.001277216,0.005114855,0.0003223068,0.001762445,0.001780776,0.001431089,0.06686316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001242448,"about_ca_system_score_gemma":0.002415032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01255283,"about_ca_topic_score_gemma":0.02633967,"domain_scores_codex":[0.999117,0.0001041,0.000220312,0.0002840714,0.0001719649,0.0001025705],"domain_scores_gemma":[0.9971579,0.0007666571,0.0006542605,0.0005248699,0.0006990675,0.0001971774],"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":[0.0005747223,0.00002974176,0.007893792,0.006122688,0.0001656377,0.0001653593,0.00008122255,0.0004544724,0.0005449164,0.001531606,0.948377,0.0340589],"study_design_scores_gemma":[0.0001516674,0.0000245759,0.01293292,0.001712385,0.00009202889,0.0004130747,0.0000872299,0.0002058557,0.0004112054,0.002278788,0.9816637,0.00002661412],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006015759,0.0007407329,0.0002185468,0.0001027018,0.00005249268,0.00003234634,0.994643,0.0002903302,0.003318321],"genre_scores_gemma":[0.002086339,0.0008283432,0.0009499874,0.0001792214,0.00002591847,0.0001254614,0.9931228,0.0001004726,0.002581514],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08120003,"threshold_uncertainty_score":0.2716412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01139038165924467,"score_gpt":0.371998492768441,"score_spread":0.3606081111091963,"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."}}