{"id":"W4306861656","doi":"10.51731/cjht.2022.476","title":"The Vital Role of Medical Librarians in a Time of Information Overload","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Health Technologies","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information overload; Nature versus nurture; Health information; Field (mathematics); Medical information; Value (mathematics); Medical library; Knowledge management; Public relations; Library science; Political science; Computer science; Health care; World Wide Web; Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0453722,0.0006948969,0.001622478,0.006807803,0.05343188,0.06347056,0.003485214,0.01871832,0.01810431],"category_scores_gemma":[0.07863153,0.001707425,0.0009095104,0.007916933,0.04837234,0.04019788,0.03173962,0.01935571,0.009118634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02726753,"about_ca_system_score_gemma":0.08262047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08061831,"about_ca_topic_score_gemma":0.1466945,"domain_scores_codex":[0.9327687,0.02859428,0.003147636,0.003198909,0.02288892,0.00940166],"domain_scores_gemma":[0.8457958,0.04176056,0.008845909,0.006485318,0.02870588,0.06840656],"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":[0.00008192069,0.00007037224,0.00240336,0.000444572,0.00003346648,0.0007159493,0.05484757,0.00004275618,0.0004617509,0.03843561,0.8324697,0.069993],"study_design_scores_gemma":[0.00002425707,0.00003297713,0.001572849,0.0004741006,0.00001330736,0.0004608033,0.04250282,0.00005525233,0.0001315802,0.01591043,0.938722,0.00009958336],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002237172,0.01249637,0.0005686966,0.9524699,0.006236346,0.00002073155,0.00003814126,0.0001770397,0.02575563],"genre_scores_gemma":[0.1238361,0.02421389,0.007112574,0.7609662,0.02187737,0.0001227272,0.0001340641,0.0005495272,0.06118745],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9365295,"threshold_uncertainty_score":0.239954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03755430122874671,"score_gpt":0.3850373701056179,"score_spread":0.3474830688768712,"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."}}