{"id":"W2782174022","doi":"10.18438/b8sh4k","title":"Journal Update from EBLIP9","year":2017,"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":[0.006330304,0.0008609536,0.001797074,0.005599055,0.0009061313,0.004942467,0.002126188,0.004467667,0.205639],"category_scores_gemma":[0.02685339,0.0006666505,0.002428708,0.004579006,0.0004472788,0.00360749,0.003215,0.004752337,0.09198213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002452437,"about_ca_system_score_gemma":0.005922498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003881301,"about_ca_topic_score_gemma":0.008154343,"domain_scores_codex":[0.9961272,0.0008266357,0.0008636836,0.0002340444,0.001611339,0.0003372619],"domain_scores_gemma":[0.979254,0.006464423,0.00179727,0.0007115461,0.01022524,0.001547466],"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":[0.0002494612,0.00002598839,0.00009071063,0.002493836,0.00004752618,0.00006914623,0.00001346399,0.00002471165,0.000106754,0.0003920275,0.9177117,0.07877463],"study_design_scores_gemma":[0.00007432429,0.0000303091,0.0003500962,0.002255545,0.00007563171,0.00007732712,0.00001362484,0.0000102626,0.00009283362,0.0002661061,0.9967463,0.000007645667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00123616,0.2493657,0.002104654,0.2260118,0.2611365,0.0007762436,0.05392148,0.001076601,0.2043708],"genre_scores_gemma":[0.00731834,0.2971312,0.005066101,0.192512,0.1381348,0.001199819,0.06938109,0.0009907138,0.2882659],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.205639,"threshold_uncertainty_score":0.6879311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.016947692788884,"score_gpt":0.2981269541953707,"score_spread":0.2811792614064867,"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."}}