{"id":"W2994395820","doi":"10.1111/zph.12669","title":"Lyme disease prevention: A content analysis of Canadian patient group and government websites","year":2019,"lang":"en","type":"article","venue":"Zoonoses and Public Health","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; The Quebec Population Health Research Network; Institut de recherche Robert-Sauvé en santé et en sécurité du travail","funders":"","keywords":"Government (linguistics); Content analysis; Public health; Medicine; Pathology","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":[0.00732472,0.0003048158,0.0005703508,0.006999462,0.003636296,0.002789186,0.0008221763,0.0005149316,0.001358469],"category_scores_gemma":[0.03264088,0.0002667494,0.00051576,0.01148195,0.002105714,0.0009255991,0.001935649,0.0007074357,0.0001056757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02641242,"about_ca_system_score_gemma":0.03350425,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7005656,"about_ca_topic_score_gemma":0.6835098,"domain_scores_codex":[0.9954775,0.001191364,0.0004407815,0.0003036296,0.002032357,0.0005543876],"domain_scores_gemma":[0.9679657,0.01412027,0.003494312,0.0005756302,0.01222549,0.001618545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003625786,0.0001994415,0.3557601,0.001491171,0.00007169638,0.0004578794,0.5778493,0.0001775942,0.001890175,0.0008254876,0.003223337,0.05769131],"study_design_scores_gemma":[0.00003062186,0.0001231282,0.6019922,0.0005955047,0.00009129817,0.0002317706,0.3799657,0.0007736403,0.0006421347,0.0001563529,0.01532614,0.00007149597],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942356,0.0002486993,0.000301886,0.0004651642,0.00001042605,0.0004047992,0.001106318,0.00001744903,0.003209752],"genre_scores_gemma":[0.9947273,0.000615287,0.001705537,0.0002473007,0.00001061828,0.0004788822,0.001386626,0.00002176469,0.0008067513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2994344,"threshold_uncertainty_score":0.6023955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05542217642470485,"score_gpt":0.2917789555210757,"score_spread":0.2363567790963709,"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."}}