{"id":"W4360593795","doi":"10.2196/42297","title":"Multilevel Classification of Users’ Needs in Chinese Online Medical and Health Communities: Model Development and Evaluation Based on Graph Convolutional Network","year":2023,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; The Internet; Cluster analysis; Information retrieval; Construct (python library); Information needs; Context (archaeology); Graph; World Wide Web; Data science; Artificial intelligence","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":[0.002755606,0.001216333,0.000900068,0.002350061,0.000850244,0.00101369,0.00146401,0.001365189,0.001601228],"category_scores_gemma":[0.006494376,0.0003651087,0.001181701,0.001098623,0.0007758182,0.00171451,0.001316482,0.00157037,0.0002645366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003419654,"about_ca_system_score_gemma":0.002074449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07620237,"about_ca_topic_score_gemma":0.04969886,"domain_scores_codex":[0.9993231,0.0002296187,0.00003690696,0.0001941131,0.00007667016,0.0001395252],"domain_scores_gemma":[0.9972134,0.001717824,0.0002134297,0.0001057037,0.0005721832,0.0001775668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001347308,0.001165507,0.1812892,0.0003598708,0.0004739458,0.0003298529,0.001143216,0.6212182,0.001773981,0.005749623,0.006253075,0.1788963],"study_design_scores_gemma":[0.000006666288,0.00002036471,0.001966065,0.000006979391,0.00002443166,0.000006575059,0.00003538665,0.997227,0.00005685545,0.0005926404,0.0000526968,0.000004323596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8647786,0.001109215,0.1261486,0.002134136,0.000127736,0.0004875119,0.001127795,0.0007103512,0.00337608],"genre_scores_gemma":[0.9773917,0.0002592406,0.01915731,0.0001807688,0.00004205978,0.0002988611,0.001214059,0.00002406585,0.001431943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07620237,"threshold_uncertainty_score":0.1515176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4069837974562727,"score_gpt":0.6039052437065254,"score_spread":0.1969214462502527,"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."}}