{"id":"W1969351512","doi":"10.1007/s10389-008-0178-9","title":"The language of public health—a corpus-based analysis","year":2008,"lang":"en","type":"article","venue":"Journal of Public Health","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Readability; Public health; Vocabulary; Competence (human resources); Health education; Health care; Psychology; Public relations; Linguistics; Medicine; Political science; Social psychology; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001855548,0.0002812865,0.0003564026,0.005036257,0.00172103,0.002218765,0.0006087192,0.0006273902,0.009389378],"category_scores_gemma":[0.0107135,0.0002580187,0.0002726351,0.006299417,0.001177746,0.001554998,0.001867245,0.001294822,0.001469796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001435015,"about_ca_system_score_gemma":0.002239211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01657584,"about_ca_topic_score_gemma":0.02340249,"domain_scores_codex":[0.9989599,0.0004764098,0.0001153703,0.0001502448,0.0002187133,0.00007924859],"domain_scores_gemma":[0.9848759,0.01231273,0.0005689159,0.0006865794,0.001299985,0.0002558142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001637135,0.0008655803,0.2510812,0.005661614,0.0005034576,0.006858682,0.1060693,0.004271976,0.03030042,0.08181246,0.09821652,0.4127217],"study_design_scores_gemma":[0.0001275048,0.0001744863,0.5249328,0.002171123,0.0006054527,0.004505393,0.05145127,0.01661384,0.01055284,0.01239992,0.3763272,0.0001382398],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8712799,0.005505621,0.01502718,0.002716325,0.0002018681,0.0004197082,0.03857493,0.0003630059,0.0659114],"genre_scores_gemma":[0.9610277,0.001682909,0.009621069,0.0002273272,0.00005043789,0.0002520531,0.02250326,0.0002613056,0.004373991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01657584,"threshold_uncertainty_score":0.03295875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09890893314276558,"score_gpt":0.3932356608408347,"score_spread":0.2943267276980691,"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."}}