{"id":"W4386707572","doi":"10.32920/24132867.v1","title":"PHR User Privacy Concerns and Behaviours","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Internet privacy; Privacy policy; Information privacy; Reading (process); Personally identifiable information; Empirical research; Psychology; Business; Computer science; Computer security; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008005764,0.0001792006,0.0002230003,0.00009912558,0.00045995,0.0003609976,0.0007630452,0.0004335225,0.0003592088],"category_scores_gemma":[0.0006548188,0.0001800967,0.00007436979,0.0001334628,0.000304623,0.0002306939,0.002739492,0.0005214004,0.0001227335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001187364,"about_ca_system_score_gemma":0.0002813277,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1009521,"about_ca_topic_score_gemma":0.02391863,"domain_scores_codex":[0.9983273,0.000186183,0.0002065405,0.0005415368,0.0004029787,0.0003355161],"domain_scores_gemma":[0.9989632,0.00008629901,0.0001183864,0.000571284,0.0000830858,0.0001777403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007715514,0.0003831193,0.1181093,0.0004807751,0.0002472595,0.000134275,0.08316351,0.00001106207,0.00008564151,0.2277261,0.5165145,0.05306722],"study_design_scores_gemma":[0.0009174216,0.00009651262,0.09229725,0.0002907962,0.0002558618,0.000003670154,0.008441849,0.000220471,0.0003882052,0.2273414,0.667971,0.001775638],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8516032,0.002542172,0.01075581,0.03944755,0.01315994,0.005779855,0.001165867,0.004779365,0.07076626],"genre_scores_gemma":[0.9746178,0.005150907,0.001882841,0.0003165198,0.002360827,0.0001667892,0.0002579558,0.0000571258,0.01518928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1514564,"threshold_uncertainty_score":0.9938923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1039333402171746,"score_gpt":0.3733974095819783,"score_spread":0.2694640693648037,"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."}}