{"id":"W2948642963","doi":"10.1111/hir.12264","title":"Wither health science librarianship? Many questions, many options","year":2019,"lang":"en","type":"article","venue":"Health Information & Libraries Journal","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Benchmarking; Library science; Medical education; Political science; Public relations; Sociology; Medicine; Computer science; Management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0100521,0.0003494846,0.0006469116,0.001181079,0.007491463,0.0009790121,0.0009367795,0.0002474207,0.007665992],"category_scores_gemma":[0.0004758935,0.0002928523,0.0001212004,0.001751343,0.0003197743,0.04626757,0.0002902774,0.002589197,0.005777616],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001175903,"about_ca_system_score_gemma":0.01934268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001707863,"about_ca_topic_score_gemma":0.00000665234,"domain_scores_codex":[0.9905415,0.0008258967,0.005322438,0.0002884078,0.001231695,0.001790043],"domain_scores_gemma":[0.9923441,0.0002605701,0.004039746,0.0008303743,0.0008730742,0.001652176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002691786,0.0001196865,0.156045,0.002962196,0.00002177931,6.71616e-7,0.03671487,0.0002113731,0.00000160779,0.5849548,0.1244671,0.09423172],"study_design_scores_gemma":[0.001387386,0.0002796743,0.2074801,0.0007572936,0.000002927772,0.00006006546,0.008335127,0.005437009,0.000002463388,0.004032966,0.7719392,0.0002857045],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1992255,0.004884531,0.1764324,0.2997039,0.02902219,0.01547832,0.0007613971,0.002910045,0.2715818],"genre_scores_gemma":[0.4734488,0.003554449,0.09594368,0.4140829,0.002238716,0.0004112694,0.0007055881,0.0001192435,0.009495404],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.6474722,"threshold_uncertainty_score":0.9999524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05366333809782976,"score_gpt":0.4113463702513244,"score_spread":0.3576830321534946,"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."}}