{"id":"W2620963970","doi":"10.1007/978-3-319-51732-2_4","title":"Toward a Framework for Understanding Embodied Health Literacy","year":2017,"lang":"en","type":"book-chapter","venue":"Health informatics","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Embodied cognition; Health literacy; Literacy; Psychology; Sociology; Cognitive science; Computer science; Political science; Health care; Pedagogy; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.009690006,0.0008892688,0.002230244,0.0006054863,0.006877095,0.0002674115,0.001013268,0.001595323,0.001106602],"category_scores_gemma":[0.001498322,0.0008127235,0.0004140883,0.00006299785,0.0001988299,0.002302104,0.0003698858,0.004045339,0.001244584],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004941896,"about_ca_system_score_gemma":0.009922211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001191093,"about_ca_topic_score_gemma":0.0000626495,"domain_scores_codex":[0.9845372,0.0002456481,0.01161649,0.0004334337,0.0009097283,0.002257472],"domain_scores_gemma":[0.9768848,0.002006194,0.01671397,0.002100674,0.0008271092,0.001467221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001239521,0.00001849564,0.00007613012,0.03516017,0.0000473325,4.40717e-7,0.0520433,0.000002068258,1.130053e-9,0.7704557,0.08719397,0.05487839],"study_design_scores_gemma":[0.0009027763,0.0002835209,0.00002644598,0.007742548,0.00001343027,0.000003419676,0.001702494,0.002395479,2.311803e-8,0.2889773,0.6974949,0.0004576676],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000001699378,0.0008392371,0.5000401,0.01129843,0.003663532,0.007176016,0.001743466,0.0003853653,0.4748522],"genre_scores_gemma":[0.001424879,0.00842454,0.4334103,0.2712158,0.003897946,0.0013482,0.005085958,0.0004548508,0.2747376],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.610301,"threshold_uncertainty_score":0.9998065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.334857818207967,"score_gpt":0.5203734201910186,"score_spread":0.1855156019830516,"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."}}