{"id":"W6893273036","doi":"10.5281/zenodo.15047107","title":"Breaking Barriers: Improving Vaccination Rates in Rural Canadian Communities","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Seneca Polytechnic","funders":"","keywords":"Lagging; Vaccination; Public health; Rural area; Outbreak; Rural health; Health care","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001429442,0.0003136747,0.0002884315,0.000930469,0.005557312,0.0014661,0.001486403,0.000516198,0.003824322],"category_scores_gemma":[0.004683225,0.0001482925,0.0002810216,0.001138259,0.001260817,0.0006640301,0.002163503,0.0008316732,0.000244028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02178997,"about_ca_system_score_gemma":0.056056,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9712506,"about_ca_topic_score_gemma":0.9821039,"domain_scores_codex":[0.9987949,0.0002050674,0.00001899582,0.00008877434,0.0001925526,0.0006996915],"domain_scores_gemma":[0.9981445,0.0001439985,0.0001951164,0.00004150442,0.0005026829,0.0009720796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006023804,0.001068862,0.4667665,0.001051263,0.0001764982,0.001294017,0.05176277,0.001827387,0.005438018,0.0100391,0.0396282,0.4203449],"study_design_scores_gemma":[0.0001367998,0.0006682415,0.8476566,0.0009950162,0.0001432092,0.0003046101,0.06050106,0.001595851,0.00127078,0.003291752,0.08332712,0.0001088911],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9449721,0.002615853,0.001185103,0.01379301,0.0001389518,0.0002662081,0.0007988991,0.00009397657,0.03613606],"genre_scores_gemma":[0.9936487,0.001193526,0.0009970464,0.0008959021,0.00002144884,0.00006249089,0.0001726654,0.00001199716,0.002996301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02874941,"threshold_uncertainty_score":0.158098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02305669824618587,"score_gpt":0.2792562742894358,"score_spread":0.2561995760432499,"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."}}