{"id":"W2765264680","doi":"10.1002/pra2.2017.14505401073","title":"Health information behavior research with marginalized populations","year":2017,"lang":"en","type":"article","venue":"Proceedings of the Association for Information Science and Technology","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of Michigan","keywords":"Information behavior; Public relations; Information seeking; Sociology; Context (archaeology); Variety (cybernetics); Health equity; Psychology; Internet privacy; Social psychology; Health care; Political science; Computer science","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":["metaresearch","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01231167,0.0000862032,0.0002059375,0.0008361294,0.008242576,0.000274633,0.0008133953,0.0001850793,0.000006248222],"category_scores_gemma":[0.01037894,0.00005769733,0.00002271064,0.001268473,0.0005526055,0.01619878,0.0003326172,0.0004632736,0.00002114356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006912214,"about_ca_system_score_gemma":0.001093627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001465533,"about_ca_topic_score_gemma":0.00002608629,"domain_scores_codex":[0.9972419,0.00002098878,0.001131677,0.0001079478,0.0009887804,0.0005087198],"domain_scores_gemma":[0.9859821,0.000101734,0.00351299,0.0002746627,0.01004437,0.00008411778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003646351,0.00001333274,0.6573747,0.0002973483,0.000003594047,1.183225e-9,0.003108309,2.586035e-7,0.00002628188,0.3105573,0.0033892,0.02519323],"study_design_scores_gemma":[0.001392229,0.0001498092,0.7328581,0.0001766809,0.00001033381,0.00000153798,0.006546463,0.0006987269,0.0003731817,0.006609811,0.2510688,0.0001143704],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8933462,0.00001027047,0.0003076999,0.05965857,0.0005755038,0.005146219,0.0001229476,0.0001579304,0.04067469],"genre_scores_gemma":[0.9957776,0.00001755089,0.00258574,0.0007795808,0.00002146095,0.0005854933,0.00001170373,0.000003039514,0.0002178124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3039474,"threshold_uncertainty_score":0.9979571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1282065239869892,"score_gpt":0.4994978096852893,"score_spread":0.3712912856983001,"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."}}