{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003698594,0.00006568809,0.0002108478,0.0001898349,0.000225255,0.00007392475,0.00005666934,0.00002750371,0.0006088396],"category_scores_gemma":[0.00005408817,0.00005937466,0.00006016346,0.0005166564,0.00001681813,0.0001844086,0.0000237806,0.00003572455,0.000003369324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001458268,"about_ca_system_score_gemma":0.0005465113,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2729416,"about_ca_topic_score_gemma":0.5671501,"domain_scores_codex":[0.9989656,0.000120626,0.0002076596,0.0001760969,0.0002406148,0.0002893721],"domain_scores_gemma":[0.9989388,0.00005203429,0.0001123811,0.0001171525,0.00003817242,0.0007414323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000865705,0.00006831535,0.9411536,0.00004117253,0.0001210203,0.000001343096,0.003375901,7.339245e-7,0.000001454256,0.03134649,0.0007173797,0.02316397],"study_design_scores_gemma":[0.0001911831,0.0001595163,0.8156465,0.00001913358,0.00005249653,1.197811e-7,0.006173681,0.00006111805,2.551135e-7,0.000117304,0.1775019,0.00007680821],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9795796,0.002632374,0.00001688445,0.01409211,0.00006697512,0.0002886255,0.00008157647,0.000008232854,0.003233586],"genre_scores_gemma":[0.9958053,0.002140886,0.00003641211,0.001323655,0.00002956552,0.000007158291,0.00001849813,0.000003340366,0.0006351967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2942086,"threshold_uncertainty_score":0.7319,"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."}}