{"id":"W3013606225","doi":"10.2196/16102","title":"Insurance Customers’ Expectations for Sharing Health Data: Qualitative Survey Study","year":2020,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020 Framework Programme; European Commission","keywords":"Thematic analysis; Business; Social exchange theory; Marketing; Health care; Survey data collection; Qualitative property; Knowledge management; Qualitative research; Computer science; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0091333,0.0002364399,0.0007825847,0.0001022064,0.0009242872,0.00002220405,0.001146543,0.0002410492,0.0001371608],"category_scores_gemma":[0.005473152,0.0002033201,0.00004738208,0.0006937645,0.00007500502,0.0005764925,0.0004631287,0.001429691,0.0005556395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003784619,"about_ca_system_score_gemma":0.003755824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009123823,"about_ca_topic_score_gemma":0.002545397,"domain_scores_codex":[0.9926659,0.001850103,0.002922534,0.000332242,0.001110374,0.001118842],"domain_scores_gemma":[0.9925161,0.004153778,0.001039062,0.000763306,0.0003503123,0.001177412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001046182,0.0002082969,0.04763342,0.003019695,0.0000812236,0.000001163464,0.8552668,0.0000023894,1.863688e-7,0.0005875274,0.08901079,0.004083904],"study_design_scores_gemma":[0.005116133,0.001456887,0.02351989,0.0006006546,0.00001184913,0.000001629017,0.8812034,0.03675722,3.063022e-7,0.00006023211,0.05085497,0.0004168481],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9101744,0.0005460085,0.03572803,0.02174854,0.002343558,0.02301632,0.002313377,0.0008404192,0.003289393],"genre_scores_gemma":[0.9819396,0.00004840404,0.001413309,0.01282044,0.0006021796,0.00189768,0.001025879,0.00004864781,0.0002039177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07176518,"threshold_uncertainty_score":0.8291152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3539360094168653,"score_gpt":0.5845767090224577,"score_spread":0.2306406996055924,"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."}}