{"id":"W4210350136","doi":"10.2196/preprints.13306","title":"Patient Privacy Perspectives on Health Information Exchange in a Mental Health Context: Qualitative Study (Preprint)","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Mental Health Treatment and Access","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mental health; Context (archaeology); Thematic analysis; Internet privacy; Qualitative research; Health care; Protected health information; Psychology; Health information exchange; Information privacy; Personally identifiable information; Medicine; Nursing; Psychiatry; Public health; Health information; Health policy; Sociology; HRHIS; Political science","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":[0.01658174,0.0004303396,0.0008155206,0.001727295,0.01231601,0.005151736,0.001406739,0.002138764,0.003766577],"category_scores_gemma":[0.02315371,0.0007073568,0.0006413739,0.002841384,0.008977411,0.005213464,0.006572274,0.003556079,0.0003326014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01115741,"about_ca_system_score_gemma":0.01191378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02457353,"about_ca_topic_score_gemma":0.03142486,"domain_scores_codex":[0.9856206,0.01079833,0.0005116739,0.000607695,0.0007477681,0.001713963],"domain_scores_gemma":[0.9671815,0.02605894,0.001820277,0.0006416251,0.001825322,0.002472335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001535257,0.00002484278,0.00152268,0.000116096,0.000002297294,0.0003118526,0.9953353,0.00001352792,0.0001883838,0.0007287181,0.0003429857,0.00139797],"study_design_scores_gemma":[0.000002756279,0.00002005826,0.0006854219,0.0001394286,0.000002202436,0.0001043272,0.9955954,0.00002476992,0.00009352831,0.000121655,0.003203608,0.000006821622],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836257,0.001301874,0.001822214,0.006926319,0.0001145203,0.0004960081,0.0003637714,0.00001943501,0.005330059],"genre_scores_gemma":[0.9928885,0.001186898,0.0009757176,0.002274429,0.00003228343,0.0005811932,0.00008915263,0.00001544879,0.001956288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02457353,"threshold_uncertainty_score":0.08769369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07069268382792027,"score_gpt":0.4602201042712483,"score_spread":0.3895274204433281,"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."}}