{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002075263,0.00009809453,0.0001338752,0.0001161714,0.00007485679,0.0002350692,0.00008427542,0.00005153102,0.002829522],"category_scores_gemma":[0.000466141,0.00008058953,0.00003340366,0.0001819447,0.00003120929,0.2329921,0.00003589409,0.0003054755,0.0005397684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000134989,"about_ca_system_score_gemma":0.0002262521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001964762,"about_ca_topic_score_gemma":2.781809e-9,"domain_scores_codex":[0.9991775,0.00007367293,0.0002887482,0.00008859244,0.0002463955,0.0001250579],"domain_scores_gemma":[0.9986008,0.0006937173,0.0003003618,0.0002037617,0.00006611434,0.0001352056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.02814359,0.0002506415,0.04057959,0.0007000497,0.0004367112,0.0000992339,0.001769748,0.0008897935,0.004879455,0.1288504,0.01471976,0.778681],"study_design_scores_gemma":[0.001210881,0.0001849464,0.0176164,0.0004845587,0.00004477041,0.0002242501,0.0005294854,0.0009402306,0.002699054,0.0002586051,0.9756989,0.0001079556],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2768446,0.01259631,0.02909867,0.6545195,0.001828095,0.001246876,0.00005656301,0.0004762159,0.02333315],"genre_scores_gemma":[0.5229483,0.00472647,0.05696622,0.4139979,0.0004955387,0.00001395723,0.0001286617,0.00002384375,0.0006990061],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9609791,"threshold_uncertainty_score":0.998082,"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."}}