{"id":"W2946354733","doi":"10.1111/hir.12257","title":"Evaluating user experiences of a clearing house for health policy and systems","year":2019,"lang":"en","type":"article","venue":"Health Information & Libraries Journal","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact","funders":"","keywords":"Credibility; Clearing; Information system; Resource (disambiguation); Psychological intervention; Computer science; Information access; Health policy; Knowledge management; Public relations; Medicine; Business; World Wide Web; Public health; Nursing; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03044685,0.0005789627,0.0005430145,0.001543915,0.003588255,0.005233874,0.001293011,0.001816745,0.005789266],"category_scores_gemma":[0.06241468,0.0005711341,0.0005534964,0.001853995,0.0023823,0.005215334,0.004117241,0.0009556859,0.0007431202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002386224,"about_ca_system_score_gemma":0.001859792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003576705,"about_ca_topic_score_gemma":0.005380213,"domain_scores_codex":[0.9695189,0.02530373,0.001183149,0.0006045273,0.001802091,0.001587638],"domain_scores_gemma":[0.8803318,0.09830377,0.005072076,0.005311426,0.006983432,0.003997548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001283115,0.001771386,0.0799152,0.001083546,0.00008224723,0.002132826,0.8080273,0.0009916007,0.00362109,0.001811776,0.005367003,0.09391291],"study_design_scores_gemma":[0.0001816639,0.006015849,0.0663245,0.0009055502,0.0001444111,0.001195783,0.8587232,0.00646789,0.005955858,0.001300959,0.05248413,0.0003001559],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938891,0.0000825658,0.001732772,0.000359291,0.00001064621,0.0002108804,0.00009820718,0.00007852784,0.003537914],"genre_scores_gemma":[0.9919466,0.0001009429,0.006137066,0.000177867,0.00001208362,0.0002503136,0.0001433269,0.00004168016,0.001190142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03044685,"threshold_uncertainty_score":0.1610203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5269876269984213,"score_gpt":0.6470427744549453,"score_spread":0.120055147456524,"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."}}