{"id":"W2300277477","doi":"10.18438/b8qp7t","title":"Evidence Based Health Sciences Librarians","year":2016,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Computer science; Data science; World Wide Web; Information retrieval","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"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":[0.006366218,0.0001647779,0.0001958141,0.0004477732,0.002193047,0.0002912691,0.000505036,0.0001227923,0.002333556],"category_scores_gemma":[0.01475807,0.0001060455,0.00003574968,0.001314569,0.0003514125,0.3497348,0.0001381668,0.0004163176,0.0009580388],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007960395,"about_ca_system_score_gemma":0.01029292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009209822,"about_ca_topic_score_gemma":4.284837e-7,"domain_scores_codex":[0.9948821,0.002263881,0.0009143123,0.0003243845,0.0007957686,0.0008195219],"domain_scores_gemma":[0.9768981,0.02112891,0.0007588505,0.0003736497,0.0001577496,0.0006827422],"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":[0.001697641,0.0001697713,0.06583883,0.003142817,0.00001386765,0.000004193077,0.002816575,0.0001052645,0.0002628856,0.3224694,0.3533988,0.2500799],"study_design_scores_gemma":[0.0005368521,0.0007827418,0.04119116,0.008441197,0.000005809218,0.000003814663,0.002467513,0.003653653,0.00025991,0.0002958356,0.9421324,0.0002290796],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004644641,0.00238605,0.01980456,0.9630814,0.0008176772,0.001203619,0.00002572514,0.0002646626,0.00777167],"genre_scores_gemma":[0.2641012,0.01849356,0.02341299,0.6916417,0.0005730672,0.0003358471,0.00002631034,0.00001744919,0.00139785],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.5887336,"threshold_uncertainty_score":0.9998198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1645468678444727,"score_gpt":0.4594172951923761,"score_spread":0.2948704273479035,"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."}}