{"id":"W4254513552","doi":"10.1002/0470011815.b2a04053","title":"Specificity","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Biostatistics","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"grok","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"opus","categories":[],"domain":null,"study_design":"not_applicable","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.02038538,0.0004620533,0.004547043,0.000706957,0.00003130381,0.0001604634,0.002013855,0.0002794371,0.3466544],"category_scores_gemma":[0.02620758,0.0002466661,0.00108381,0.0008228579,0.0001422779,0.00003351147,0.0001405459,0.0002061689,0.01897763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002094889,"about_ca_system_score_gemma":0.0001263726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005002941,"about_ca_topic_score_gemma":0.0002298956,"domain_scores_codex":[0.9823905,0.002561121,0.008392303,0.0009473554,0.005456091,0.0002525951],"domain_scores_gemma":[0.9825781,0.002917574,0.009647284,0.004187029,0.0005053808,0.0001646145],"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":[9.461265e-7,0.00003565446,0.0006926374,0.0000550791,0.0001040927,0.000006554543,0.00005689836,0.000001623327,6.646816e-7,0.005435467,0.9289414,0.06466897],"study_design_scores_gemma":[0.00006936112,0.00001906667,0.0008259717,0.00005559725,0.0001937612,0.000002410679,0.00006090838,0.0001153111,0.000001606574,0.001560785,0.9968631,0.0002321423],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000007454977,0.001908136,0.04041321,0.000103595,0.000953947,0.0004747352,0.001476413,0.00001160709,0.9546509],"genre_scores_gemma":[0.0000818549,0.001419426,0.09110754,0.0000669501,0.0008296585,0.000006427144,0.00006587798,0.0001492515,0.906273],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3276768,"threshold_uncertainty_score":0.9999986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3763565235964179,"score_gpt":0.4655972084416562,"score_spread":0.08924068484523828,"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."}}