{"id":"W4240152780","doi":"10.1515/iupac.84.0563","title":"Fibroblast","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Immunotoxicology; Medicine; Immunology; 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":[0.001879495,0.001315754,0.001225151,0.002706084,0.0009065631,0.003441,0.00252148,0.001813025,0.1758069],"category_scores_gemma":[0.01507576,0.0005577775,0.001845076,0.004554386,0.0003782971,0.002097437,0.001949987,0.001880155,0.1972371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00196661,"about_ca_system_score_gemma":0.003950366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01514063,"about_ca_topic_score_gemma":0.02743624,"domain_scores_codex":[0.9971927,0.0004811563,0.0005105238,0.000944194,0.0005375824,0.000333879],"domain_scores_gemma":[0.9946029,0.001268571,0.000529114,0.001294316,0.001909362,0.000395696],"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":[0.0002079756,0.00002749122,0.002209674,0.0009644444,0.00004577178,0.00002317432,0.00002337528,0.0001421153,0.00009045749,0.00101712,0.9864649,0.008783628],"study_design_scores_gemma":[0.0002225812,0.00002504707,0.003632743,0.0006410131,0.00003703095,0.00008634786,0.00007440322,0.0001882936,0.0002422399,0.00141882,0.9934098,0.00002162249],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001864208,0.000133757,0.0001318126,0.000195816,0.00006626476,0.00005196311,0.9958331,0.0002823552,0.003118581],"genre_scores_gemma":[0.0006590938,0.0001371722,0.0004677108,0.0003334196,0.00002197348,0.0001983238,0.9953393,0.00008180457,0.002761151],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1758069,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01500045337316453,"score_gpt":0.4202968200329781,"score_spread":0.4052963666598136,"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."}}