{"id":"W7097600391","doi":"","title":"TITLE Literacy and Health Project. Phase One. Making the World Healthier and Safer for People Who Can't Read.","year":2016,"lang":"en","type":"article","venue":"","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Functional illiteracy; SAFER; Health literacy; Socioeconomic status; Multidisciplinary approach; Literacy; Variety (cybernetics); Public health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005375326,0.0009238481,0.001442039,0.00203542,0.003999967,0.002655063,0.003182358,0.001566854,0.02945041],"category_scores_gemma":[0.007474653,0.0008589763,0.001025226,0.003007892,0.0008812424,0.001114299,0.004168716,0.003091689,0.007574384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02511841,"about_ca_system_score_gemma":0.1133393,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7715808,"about_ca_topic_score_gemma":0.7360185,"domain_scores_codex":[0.9973662,0.0004074121,0.0001123863,0.000232976,0.0008111275,0.001069865],"domain_scores_gemma":[0.9859029,0.0006710071,0.0006234075,0.0003231399,0.004095333,0.008384306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00608568,0.004723261,0.1496028,0.006812009,0.0002299437,0.0003096288,0.002265817,0.0003573941,0.0008425404,0.002558622,0.5356954,0.2905168],"study_design_scores_gemma":[0.004610092,0.00216901,0.8219758,0.002556866,0.0002655932,0.00008242324,0.001691489,0.0002437016,0.0005591935,0.0005647188,0.1652344,0.00004668252],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0841123,0.005839106,0.001210101,0.02212747,0.001306314,0.09755675,0.7093663,0.0004826851,0.07799892],"genre_scores_gemma":[0.1479324,0.008053134,0.009140509,0.01855069,0.0006866944,0.165511,0.5126467,0.0003020036,0.1371769],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7715808,"threshold_uncertainty_score":0.4595287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2789734435313541,"score_gpt":0.5741212725754429,"score_spread":0.2951478290440888,"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."}}