{"id":"W4236388403","doi":"10.1002/9781118728291.index","title":"Index","year":2016,"lang":"en","type":"paratext","venue":"","topic":"Microbial infections and disease research","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Library science; Medicine; Gerontology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006085856,0.00112256,0.0009394385,0.003573935,0.001415752,0.004612157,0.001142882,0.001194634,0.8127599],"category_scores_gemma":[0.004293931,0.0002564618,0.0004573273,0.003204537,0.0005015042,0.002423048,0.002235663,0.001345601,0.7934596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001184837,"about_ca_system_score_gemma":0.00203462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002456817,"about_ca_topic_score_gemma":0.004386352,"domain_scores_codex":[0.9992495,0.00008434078,0.00004962055,0.0000853882,0.0004529675,0.0000779864],"domain_scores_gemma":[0.9978422,0.0002404218,0.00009399692,0.000174829,0.0009231559,0.0007253459],"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":[0.00002574515,0.00003058893,0.000117848,0.0001251663,0.000001356257,0.00001874062,0.00001386773,0.00005406034,0.0001559007,0.001451114,0.9277828,0.07022284],"study_design_scores_gemma":[0.000007379667,0.00001498779,0.000282376,0.0001021236,0.000001322457,0.00003178619,0.00002394764,0.00005419811,0.0001055454,0.001045733,0.9983268,0.000003799213],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003980777,0.001527661,0.0009836938,0.0020906,0.008322962,0.0002197185,0.008879016,0.001206658,0.9763715],"genre_scores_gemma":[0.0006396964,0.0006193375,0.0002158422,0.0003542425,0.0009902453,0.00004383611,0.002470547,0.0001930165,0.9944733],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1872401,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01631511654602983,"score_gpt":0.2996253701278162,"score_spread":0.2833102535817864,"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."}}