{"id":"W2110446419","doi":"10.1186/1471-2458-10-523","title":"Perceptions of immunization information systems for collecting pandemic H1N1 immunization data within Canada's public health community: A qualitative study","year":2010,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Institut National de Santé Publique du Québec; Santé Montérégie; University of Toronto; Université de Sherbrooke; Hôpital Charles-Le Moyne; Institute for Clinical Evaluative Sciences; McGill University; Public Health Agency of Canada; Toronto Public Health; University Health Network; Public Health Ontario","funders":"Canadian Institutes of Health Research; Public Health Agency; Public Health Agency of Canada","keywords":"Snowball sampling; Medicine; Public health; Pandemic; Qualitative research; Vaccination; Qualitative property; Immunization; Environmental health; Public relations; Nursing; Infectious disease (medical specialty); Disease; Coronavirus disease 2019 (COVID-19); Immunology; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01224556,0.0005013702,0.0007592721,0.001964703,0.02005008,0.006806916,0.002208517,0.001363483,0.002725231],"category_scores_gemma":[0.02114346,0.0006274493,0.0004977441,0.004029838,0.008515678,0.001934472,0.004263341,0.002340952,0.0001683372],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08485782,"about_ca_system_score_gemma":0.1410336,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9460667,"about_ca_topic_score_gemma":0.9474144,"domain_scores_codex":[0.9904534,0.003652848,0.0002870769,0.0005672378,0.001858367,0.003181171],"domain_scores_gemma":[0.974705,0.01076374,0.001862467,0.0004074954,0.006664231,0.005597029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003989375,0.00006304195,0.01490598,0.0002019575,0.000006149259,0.0004138112,0.976346,0.00006002989,0.0004593979,0.0006887651,0.0009791199,0.00583581],"study_design_scores_gemma":[0.000004027551,0.00002812133,0.006073812,0.000158952,0.000005434489,0.00004841131,0.9887547,0.0001120089,0.00009338718,0.00004920933,0.004658029,0.00001378197],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874563,0.0006488119,0.0009187505,0.004114388,0.00004273901,0.0004451231,0.000435908,0.00002011346,0.005917983],"genre_scores_gemma":[0.9953507,0.0008339716,0.0006755376,0.0008842229,0.000009925405,0.0002350031,0.0001189526,0.00001406858,0.001877437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9151422,"threshold_uncertainty_score":0.6156895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3528290963267932,"score_gpt":0.4976957769794746,"score_spread":0.1448666806526814,"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."}}