{"id":"W4237839154","doi":"10.1515/iupac.84.1273","title":"Xenograft","year":2016,"lang":"pl","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; 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":[0.001629384,0.001464715,0.00111441,0.003188054,0.001092544,0.003718817,0.002695631,0.001901134,0.2029555],"category_scores_gemma":[0.01208695,0.000615534,0.001604035,0.004808139,0.0004041013,0.002762706,0.002357545,0.002052192,0.2480847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0019237,"about_ca_system_score_gemma":0.003281637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01551257,"about_ca_topic_score_gemma":0.0286094,"domain_scores_codex":[0.9975671,0.0003715098,0.0003670493,0.000849795,0.0005515977,0.0002930128],"domain_scores_gemma":[0.994896,0.001183023,0.0004394035,0.001405146,0.001698811,0.0003775957],"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":[0.0001365921,0.00002448532,0.001530972,0.0006529863,0.00002748488,0.00001966115,0.00002355768,0.0001556483,0.00009996284,0.001052057,0.9881126,0.008163961],"study_design_scores_gemma":[0.0001138842,0.00001707576,0.002708625,0.000351656,0.00001758636,0.00004782758,0.00007905057,0.0001928439,0.0002376581,0.001364593,0.9948514,0.00001776765],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001610692,0.00007533172,0.000146984,0.0001425469,0.00006276626,0.00003450994,0.9957075,0.0005117864,0.003157517],"genre_scores_gemma":[0.0005103906,0.00008454631,0.0004935996,0.0001907271,0.00001534292,0.0001203484,0.9954632,0.0001281079,0.002993835],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2029555,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217273478456389,"score_gpt":0.3818094052996223,"score_spread":0.3696366705150584,"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."}}