{"id":"W3007745447","doi":"10.1177/1715163519900221","title":"Pharmacists as immunizers to <u>Improve</u> coverage and provider/recipient satisfaction: <u>A</u> prospective, <u>C</u> ontrolled <u>C</u> ommunity <u>E</u> mbedded <u>S</u> tudy with vaccine <u>S</u> with low coverage rates (the Improve ACCESS Study): Study summary and anticipated significance","year":2020,"lang":"en","type":"article","venue":"Canadian Pharmacists Journal / Revue des Pharmaciens du Canada","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nova Scotia Health Authority; Izaak Walton Killam Health Centre; Dalhousie University","funders":"Sanofi Pasteur; IWK Health Centre; Canadian Institutes of Health Research; University of Waterloo; Canadian Immunization Research Network; GlaxoSmithKline; BC Children's Hospital; Dalhousie University; St. Francis Xavier University; Sanofi","keywords":"Political science; Business","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.01152296,0.0003742875,0.0005750999,0.0007022637,0.001890332,0.002737546,0.0008146433,0.002093391,0.00919703],"category_scores_gemma":[0.0267271,0.0006207787,0.001880149,0.00157605,0.0007145607,0.001835188,0.00195979,0.002423995,0.0006680019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002146486,"about_ca_system_score_gemma":0.014162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05511031,"about_ca_topic_score_gemma":0.1196662,"domain_scores_codex":[0.9901129,0.005689865,0.0005850907,0.0005044504,0.001206803,0.001900953],"domain_scores_gemma":[0.978563,0.005766659,0.005792835,0.0009791234,0.002623563,0.006274887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.01013069,0.01525571,0.8609831,0.001052257,0.001809907,0.0001181991,0.002678283,0.0001914219,0.000236674,0.0005505213,0.009623738,0.09736949],"study_design_scores_gemma":[0.004628805,0.00915683,0.9683927,0.001184939,0.001739178,0.00009026789,0.008056473,0.0003927885,0.0004574617,0.0002214099,0.005622655,0.0000564637],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"protocol","genre_scores_codex":[0.9840479,0.002539546,0.0001713127,0.005338315,0.0002351073,0.001004558,0.001081698,0.00001880965,0.005562904],"genre_scores_gemma":[0.9928753,0.001016133,0.000610942,0.002648192,0.0001053834,0.0005778964,0.000319907,0.000007302061,0.001838938],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.05511031,"threshold_uncertainty_score":0.109579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02309088131323402,"score_gpt":0.3026830764230412,"score_spread":0.2795921951098072,"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."}}