{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.007954128,0.0001522063,0.0004896345,0.0005797474,0.001990796,0.000183531,0.0002449608,0.00009262517,0.000142309],"category_scores_gemma":[0.002336762,0.0001311949,0.00004439559,0.0005210777,0.00009320487,0.004729819,0.0001135526,0.0004570624,0.00006168536],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004270543,"about_ca_system_score_gemma":0.01059377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007459731,"about_ca_topic_score_gemma":0.0000151067,"domain_scores_codex":[0.9942844,0.0009608926,0.002914636,0.0001415848,0.0006977547,0.001000741],"domain_scores_gemma":[0.993712,0.001702195,0.003291958,0.0002252482,0.0004282115,0.0006403574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000187653,0.00001266513,0.01010094,0.005769982,0.0000159138,6.714476e-8,0.8825001,0.000347192,0.00001148401,0.05807557,0.02663602,0.0163424],"study_design_scores_gemma":[0.003659801,0.001754225,0.01450936,0.001264489,0.000003873529,0.0000509258,0.5222248,0.01336881,0.00001516196,0.0006166217,0.442262,0.0002699866],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9215995,0.0004031286,0.0120579,0.05694564,0.002628413,0.005052875,0.0000959774,0.0001780502,0.001038523],"genre_scores_gemma":[0.8807484,0.0004668305,0.02093306,0.09583757,0.0009948633,0.0005056832,0.00001627108,0.00004669228,0.0004506654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.415626,"threshold_uncertainty_score":0.9993085,"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."}}