{"id":"W2949021494","doi":"","title":"Fostering Recruitment and Retention Through a Book Club Strategy","year":2019,"lang":"en","type":"article","venue":"Sigma's 30th International Nursing Research Congress","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"MacEwan University","funders":"","keywords":"Business; Public relations; 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":[0.02123077,0.0005271749,0.0006152331,0.002880073,0.009532124,0.01090452,0.003140624,0.003965898,0.04717363],"category_scores_gemma":[0.05661673,0.0005108475,0.0004339958,0.001741362,0.002422842,0.004752321,0.01147034,0.004571424,0.02552365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002373863,"about_ca_system_score_gemma":0.02022327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001291156,"about_ca_topic_score_gemma":0.004889494,"domain_scores_codex":[0.9827173,0.009669613,0.0003897263,0.0008247414,0.003823352,0.002575192],"domain_scores_gemma":[0.9178514,0.03384588,0.002776659,0.003211227,0.008745194,0.0335697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003665897,0.0104907,0.01603701,0.0003866258,0.00004823648,0.0006908743,0.01969532,0.0004942153,0.003274597,0.02364949,0.2173704,0.7074959],"study_design_scores_gemma":[0.001270288,0.007777226,0.05695644,0.00165433,0.0002069401,0.001570432,0.105642,0.01701864,0.01196362,0.08913986,0.7064366,0.0003636132],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3164614,0.001202205,0.09038478,0.09695217,0.00554075,0.009623129,0.0002699931,0.002775145,0.4767904],"genre_scores_gemma":[0.6245922,0.0008029071,0.0447004,0.02077912,0.002659587,0.006451789,0.0003308441,0.0005680567,0.299115],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04717363,"threshold_uncertainty_score":0.1578115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2299333874571261,"score_gpt":0.4838727167349496,"score_spread":0.2539393292778235,"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."}}