{"id":"W4392231899","doi":"10.1007/s12525-024-00700-8","title":"Getting to know my disease better: The influence of linguistic features of patients’ self-disclosure on physicians’ social support in online health consultation","year":2024,"lang":"en","type":"article","venue":"Electronic Markets","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Disease; Internet privacy; Self-disclosure; Psychology; Need to know; Medical education; Linguistics; Medicine; Computer science; Social psychology; Computer security; Pathology","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":[],"consensus_categories":[],"category_scores_codex":[0.001996654,0.0001423524,0.0002760892,0.000127596,0.0002979771,0.00001085283,0.0001916832,0.00007288668,0.00006680191],"category_scores_gemma":[0.001434032,0.0001064506,0.00005841665,0.0005443533,0.00003884714,0.0001830549,0.00005068519,0.0008283439,0.00001399434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003811372,"about_ca_system_score_gemma":0.002022192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009043916,"about_ca_topic_score_gemma":0.0001948348,"domain_scores_codex":[0.996768,0.0008167013,0.001277657,0.0002302344,0.0003398934,0.0005675069],"domain_scores_gemma":[0.9979101,0.0009733831,0.000494299,0.000218423,0.0003080326,0.00009570595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002621724,0.001567645,0.5122145,0.01981654,0.000107469,0.000003331826,0.2085852,0.0001805715,0.00004439563,0.02113555,0.03539327,0.1983297],"study_design_scores_gemma":[0.0004653351,0.0001570733,0.9647571,0.0007820126,0.00001056139,4.922012e-8,0.000393886,0.0005481099,0.000005797907,0.0006229556,0.03216308,0.00009405182],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913669,0.0002441604,0.00001915224,0.005899147,0.0002017893,0.001280561,0.0002686384,0.00006003402,0.0006596397],"genre_scores_gemma":[0.9914277,0.00005492457,0.00008183817,0.007852162,0.0001705875,0.00007156463,0.000201253,0.00001399441,0.000125974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4525425,"threshold_uncertainty_score":0.4340929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00936372046462582,"score_gpt":0.3740301244000074,"score_spread":0.3646664039353816,"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."}}