{"id":"W4249738984","doi":"10.1515/iupac.84.1241","title":"Tumor Immunology","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":[0.001123622,0.001278186,0.001428094,0.003200712,0.0008554205,0.003677779,0.00253768,0.001962466,0.1321905],"category_scores_gemma":[0.009622668,0.000630056,0.001482628,0.004767125,0.0002897827,0.001949728,0.002135333,0.002012934,0.1190426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001711319,"about_ca_system_score_gemma":0.003303154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01139718,"about_ca_topic_score_gemma":0.02178712,"domain_scores_codex":[0.99863,0.0001999952,0.0002440897,0.0004111589,0.0003038009,0.0002109785],"domain_scores_gemma":[0.9962961,0.0009310291,0.0005717578,0.0008938872,0.0009318734,0.0003753303],"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":[0.0001941288,0.00002295214,0.002643766,0.001930878,0.00005751909,0.00004429789,0.00001844914,0.0002160506,0.0001453392,0.0009682633,0.979345,0.01441345],"study_design_scores_gemma":[0.0001849741,0.00001766063,0.004456906,0.0008679488,0.00005072966,0.0001531595,0.00003906041,0.0001659757,0.0002516679,0.001392572,0.9924027,0.00001669783],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002048376,0.0005120433,0.0001446618,0.0002193096,0.00008922822,0.00002975765,0.9947799,0.0003227029,0.003697601],"genre_scores_gemma":[0.0008753627,0.0004916225,0.0004700057,0.0003234388,0.00003535381,0.00009770533,0.9947879,0.00007988383,0.002838719],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1321905,"threshold_uncertainty_score":0.4422213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009612738907262464,"score_gpt":0.3577869835350347,"score_spread":0.3481742446277723,"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."}}