{"id":"W4231950080","doi":"10.1515/iupac.84.0865","title":"Lymphotoxin (LT)","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; Immunotoxicology; Immunology; Medicine; Immune system; 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":[0.0007861785,0.001248545,0.001198057,0.003164541,0.0005592078,0.002462725,0.001429761,0.001487894,0.05671265],"category_scores_gemma":[0.005476032,0.0004577865,0.001342783,0.005545637,0.0003106132,0.001514019,0.001368747,0.001695958,0.05129889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001340457,"about_ca_system_score_gemma":0.002125329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01265877,"about_ca_topic_score_gemma":0.019264,"domain_scores_codex":[0.9990133,0.0001494618,0.0002189668,0.0002831905,0.0002111811,0.0001238471],"domain_scores_gemma":[0.9978741,0.0006156362,0.000552619,0.0003832821,0.0004120289,0.0001622195],"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":[0.001042858,0.00007740832,0.01835352,0.007813595,0.0002213157,0.000166876,0.00007278651,0.0008882533,0.0009953688,0.001760914,0.9380408,0.03056633],"study_design_scores_gemma":[0.0002556944,0.00005549225,0.015957,0.001236464,0.0001086088,0.0002228864,0.00006645271,0.0002220037,0.0005907102,0.001176847,0.9800801,0.00002776758],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006215729,0.0007321485,0.0001109423,0.000113484,0.00004429619,0.00001839939,0.9964346,0.0001690662,0.001755531],"genre_scores_gemma":[0.001660801,0.000688363,0.0003397395,0.0001629855,0.00001568974,0.00007420533,0.9952583,0.00003862121,0.001761207],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05671265,"threshold_uncertainty_score":0.1897227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01018364590302565,"score_gpt":0.3598368161976371,"score_spread":0.3496531702946114,"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."}}