{"id":"W4327591225","doi":"10.18438/eblip30250","title":"Public Libraries and Health Promotion Partnerships: Needs and Opportunities","year":2023,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Science and Administration","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Promotion (chess); Public relations; Health promotion; Library science; Public health; World Wide Web; Political science; Computer science; Business; Medicine; Nursing; Politics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01596934,0.0003414895,0.000552367,0.00233501,0.0120471,0.01527493,0.002113194,0.004862775,0.01540618],"category_scores_gemma":[0.02747905,0.0008447124,0.0007082432,0.002866405,0.008190455,0.01869578,0.01839295,0.004133784,0.0011597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005258375,"about_ca_system_score_gemma":0.03348325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01013735,"about_ca_topic_score_gemma":0.0219702,"domain_scores_codex":[0.9757504,0.01586807,0.0007190667,0.0006459745,0.002004241,0.005012217],"domain_scores_gemma":[0.9347509,0.02654272,0.008683478,0.001218597,0.003656402,0.02514793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000337248,0.002238909,0.2302529,0.005540596,0.0001208469,0.004302184,0.2070289,0.0006269137,0.0006663194,0.0833428,0.06887347,0.396669],"study_design_scores_gemma":[0.00005930455,0.0003494465,0.06158222,0.005117858,0.00004676747,0.001735395,0.770539,0.0004551556,0.0002099049,0.03339878,0.1263858,0.0001205069],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3407852,0.02854347,0.0016394,0.5711115,0.000953234,0.0001779357,0.0002945838,0.0001053444,0.0563894],"genre_scores_gemma":[0.967531,0.01332184,0.001622642,0.01304444,0.0006758607,0.0002204198,0.0001054227,0.00001803968,0.003460316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01596934,"threshold_uncertainty_score":0.08445495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3001237814694654,"score_gpt":0.3584947961742283,"score_spread":0.05837101470476286,"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."}}