{"id":"W1506993507","doi":"10.18438/b87s5r","title":"Improvements to Evidence Summaries: An Evidence Based Approach","year":2012,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Information retrieval; Data science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00802824,0.0002366005,0.0002287149,0.0004462517,0.001481883,0.0003904024,0.0006106294,0.0001904359,0.001124633],"category_scores_gemma":[0.02773582,0.0002016681,0.00003773505,0.001411479,0.000115867,0.4495763,0.0002365595,0.0007744766,0.0008867829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000123698,"about_ca_system_score_gemma":0.003133103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002275455,"about_ca_topic_score_gemma":4.410195e-7,"domain_scores_codex":[0.9943603,0.002153025,0.0009935056,0.0003495322,0.001018797,0.001124807],"domain_scores_gemma":[0.985215,0.01159689,0.0005930355,0.0006918207,0.0003453333,0.001557931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01127378,0.001563343,0.3954969,0.01637835,0.00005835339,0.000004295948,0.03999938,0.001437327,0.001793393,0.08993135,0.3014146,0.1406489],"study_design_scores_gemma":[0.0005162167,0.001034758,0.1098388,0.004941714,0.00003603816,0.000003699364,0.01444381,0.02298026,0.0006636612,0.00003740855,0.8449792,0.0005243882],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1920172,0.01137197,0.1334716,0.622833,0.005933182,0.01466092,0.000125992,0.001233308,0.01835283],"genre_scores_gemma":[0.5731384,0.003131584,0.04857453,0.3722286,0.0009562376,0.001164339,0.0001228645,0.00002531934,0.0006581003],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.5435646,"threshold_uncertainty_score":0.9998912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1536520615435102,"score_gpt":0.4589042686284344,"score_spread":0.3052522070849242,"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."}}