{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0002388545,0.000097087,0.000126699,0.00008029288,0.0004533414,0.00082882,0.0001701794,0.0000503996,0.0008617216],"category_scores_gemma":[0.00182803,0.0000798597,0.00003336744,0.00005113658,0.00008907905,0.3311433,0.00006692508,0.000290706,0.0001268617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001104853,"about_ca_system_score_gemma":0.0002109131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005259778,"about_ca_topic_score_gemma":1.061993e-8,"domain_scores_codex":[0.9992449,0.00005611712,0.0002660007,0.00008368044,0.0002262239,0.0001230708],"domain_scores_gemma":[0.9983475,0.0004536269,0.0005849151,0.0003828519,0.00007322227,0.0001578701],"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":[0.01484201,0.0001108683,0.01518057,0.0002057458,0.000214369,0.0001266567,0.0006844725,0.00008730132,0.0007629105,0.04311769,0.01019403,0.9144734],"study_design_scores_gemma":[0.001104209,0.000145054,0.06030484,0.0005049352,0.00005887932,0.0002233112,0.0002631898,0.0005484077,0.002281192,0.0004939978,0.9339702,0.0001018197],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03740236,0.004877515,0.02379452,0.9179592,0.0009475004,0.0004326586,0.00003870347,0.0001985812,0.01434897],"genre_scores_gemma":[0.6904551,0.006495739,0.06262857,0.2391941,0.0008036685,0.00001582091,0.00006599307,0.00001955471,0.0003215182],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9237761,"threshold_uncertainty_score":0.9435247,"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."}}