{"id":"W4246420228","doi":"10.1515/iupac.84.0254","title":"Alveolar Macrophage","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Immune cells in cancer","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; 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":[0.001068094,0.001061809,0.001485219,0.002744816,0.001025902,0.003255122,0.001924287,0.001715153,0.06693161],"category_scores_gemma":[0.00496624,0.0005850697,0.001664198,0.004455398,0.0003351197,0.001612442,0.00177482,0.001866245,0.08195788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001375169,"about_ca_system_score_gemma":0.002851331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01182303,"about_ca_topic_score_gemma":0.02111339,"domain_scores_codex":[0.998355,0.0002138995,0.000275613,0.0005233288,0.000362599,0.0002694533],"domain_scores_gemma":[0.9977955,0.0004673783,0.0003402436,0.0005816302,0.0006152209,0.0002001989],"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":[0.0008778969,0.00009050489,0.01030684,0.003535673,0.0001617408,0.0001492358,0.00005996402,0.0004188745,0.001284158,0.001525238,0.9615674,0.02002241],"study_design_scores_gemma":[0.0004003459,0.00006382521,0.01523354,0.001015122,0.0001359126,0.0004908376,0.0001596518,0.0004105941,0.001556511,0.002699854,0.97779,0.00004382791],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008533222,0.0007135508,0.0002031217,0.0001880797,0.00006816981,0.00004414389,0.9944537,0.0004038957,0.003072039],"genre_scores_gemma":[0.002557351,0.0006446852,0.0006885215,0.0003198889,0.0000230363,0.0001842956,0.9930425,0.0000732929,0.002466496],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06693161,"threshold_uncertainty_score":0.2239085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009151968058486533,"score_gpt":0.3660062092411516,"score_spread":0.356854241182665,"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."}}