{"id":"W3212785396","doi":"10.2196/30356","title":"Health Information Needs of Young Chinese People Based on an Online Health Community: Topic and Statistical Analysis","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"State Key Laboratory of Networking and Switching Technology","keywords":"Descriptive statistics; The Internet; Cluster analysis; Information needs; Young adult; Medicine; Psychology; Medical education; Computer science; Gerontology; World Wide Web; Artificial intelligence; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002117707,0.0003514195,0.0005187673,0.006115685,0.0006984776,0.0008082745,0.0003000337,0.0003325703,0.001377218],"category_scores_gemma":[0.005444994,0.0001822851,0.001144019,0.005065056,0.0003704717,0.000693309,0.0008430153,0.0002969491,0.0001610074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008980531,"about_ca_system_score_gemma":0.001206442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02262576,"about_ca_topic_score_gemma":0.01786099,"domain_scores_codex":[0.9990668,0.0002104168,0.0001727105,0.0001781282,0.0002322162,0.000139822],"domain_scores_gemma":[0.994958,0.002627936,0.0009669916,0.0002097928,0.0008654757,0.0003717783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008830121,0.00004902111,0.9889976,0.00009225936,0.00008974942,0.00008820165,0.002778718,0.0001389079,0.000451652,0.00007826852,0.000227867,0.006919472],"study_design_scores_gemma":[0.000006846737,0.00008199846,0.990256,0.000017087,0.0001074148,0.00007448627,0.004619398,0.004137164,0.0002218581,0.00009685766,0.0003673313,0.00001350321],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979283,0.00008202675,0.0004550528,0.00004985138,0.000003268658,0.00008311056,0.001036039,0.000008728351,0.0003537289],"genre_scores_gemma":[0.9973084,0.00006674393,0.0007654901,0.00001701452,0.00001329228,0.0001651867,0.001465264,0.000003258402,0.0001954196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02262576,"threshold_uncertainty_score":0.0449881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04433345893585678,"score_gpt":0.4688603471652885,"score_spread":0.4245268882294317,"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."}}