{"id":"W2036813323","doi":"10.1371/journal.pone.0033837","title":"A Cost-Consequences Analysis of a Primary Care Librarian Question and Answering Service","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Élisabeth Bruyère Hospital; Carleton University; Institute of Population and Public Health; University of Ottawa","funders":"","keywords":"Service (business); Medicine; Randomized controlled trial; Cost–benefit analysis; Primary care; Cost database; Business; Family medicine; Computer science; Marketing; Database; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001720288,0.00007448733,0.0002748814,0.000368713,0.00005642109,0.00003715883,0.00007726041,0.00007947213,0.00002346519],"category_scores_gemma":[0.00003261505,0.00007045126,0.00002472395,0.0008448021,0.00003168079,0.0006529737,0.00007287443,0.00006635497,0.000009787021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002143613,"about_ca_system_score_gemma":0.00001682136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006237099,"about_ca_topic_score_gemma":0.00136893,"domain_scores_codex":[0.9993821,0.00001194947,0.000185454,0.0001199852,0.0001273605,0.0001732004],"domain_scores_gemma":[0.9995576,0.00001760174,0.0001372062,0.0001450181,0.0001283876,0.00001417396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001449121,0.0001817507,0.9599092,0.003676099,0.0005995044,0.000002167035,0.0005920704,0.000002517824,0.008447856,0.01282987,0.000008743725,0.01373573],"study_design_scores_gemma":[0.0005202361,0.00003117258,0.9821624,0.00104936,0.002831813,0.00000187687,0.003156473,0.001989635,0.002434886,0.0004963519,0.004880005,0.0004458242],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942905,0.001005522,0.00003922687,0.001072894,0.00003299158,0.0002142926,0.000005222255,0.0001033672,0.003235941],"genre_scores_gemma":[0.9985694,0.0000219401,0.0005670348,0.0005716913,0.0001809638,0.00002479577,0.00004346816,0.000008492206,0.00001218866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02225317,"threshold_uncertainty_score":0.942867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07520115394602855,"score_gpt":0.2471969820286863,"score_spread":0.1719958280826578,"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."}}