{"id":"W4233519726","doi":"10.18438/eblip29591","title":"Journal Update from EBLIP10","year":2019,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Advanced Breast Cancer Therapies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Library science; Information retrieval; Data science; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01031459,0.001157254,0.002072579,0.00701573,0.0009928008,0.005657341,0.002038496,0.004864956,0.1216399],"category_scores_gemma":[0.03702186,0.0007646861,0.003033728,0.004673779,0.0006473032,0.003518097,0.003544527,0.00585375,0.05019502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00373451,"about_ca_system_score_gemma":0.008144206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004745553,"about_ca_topic_score_gemma":0.009767356,"domain_scores_codex":[0.9944978,0.001287311,0.0009991754,0.0003012118,0.002427527,0.0004870186],"domain_scores_gemma":[0.9655173,0.01094632,0.003013715,0.0009272142,0.01663967,0.002955727],"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":[0.0002787471,0.00003371208,0.0001357607,0.002515277,0.00006329888,0.00004520503,0.00001376046,0.00003190511,0.00008592112,0.0002963155,0.9168895,0.07961057],"study_design_scores_gemma":[0.0001603908,0.00006033778,0.0006854712,0.004556711,0.0001767661,0.0000937589,0.00001936155,0.00002258799,0.0001059869,0.000324648,0.9937816,0.00001241216],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.001391054,0.2754752,0.001604937,0.2683507,0.2719092,0.0006241576,0.03532009,0.0007679763,0.1445567],"genre_scores_gemma":[0.008509769,0.3626826,0.00578416,0.2288906,0.1879398,0.001111499,0.04815682,0.0009190757,0.1560056],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1216399,"threshold_uncertainty_score":0.4069262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008630389436037604,"score_gpt":0.2610878494683742,"score_spread":0.2524574600323366,"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."}}