{"id":"W2464721783","doi":"10.1136/bmj.i3664","title":"Medical data of 655 000 Americans put up for sale by hacker","year":2016,"lang":"en","type":"article","venue":"BMJ","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Public Health","funders":"","keywords":"Hacker; Internet privacy; Computer security; Business; Computer science","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":[0.0003407766,0.00006738478,0.0001396436,0.00001743833,0.00004785644,0.00001090476,0.001029547,0.00002609445,0.0001437142],"category_scores_gemma":[0.0001840022,0.00004178449,0.0000317449,0.00007596456,0.0001029947,0.000193759,0.0006468647,0.00002318344,0.00003945382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008729486,"about_ca_system_score_gemma":0.00005126739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001674432,"about_ca_topic_score_gemma":0.00006335787,"domain_scores_codex":[0.9990658,0.00001709201,0.0002054185,0.0002412327,0.0002933163,0.0001771716],"domain_scores_gemma":[0.9989129,0.0001790083,0.00006002634,0.0007496034,0.00003770496,0.00006070561],"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":[0.000005211666,0.0000221257,0.0003158034,0.00000661986,0.00002721952,7.881862e-7,0.00008582115,7.609398e-8,0.0002778981,0.007767783,0.9042028,0.08728787],"study_design_scores_gemma":[0.0005474466,0.00007592161,0.000594631,0.0000338172,0.000008573109,0.000002486477,0.00002195322,0.001113493,0.001427083,0.0003672095,0.9957012,0.0001061727],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002280314,0.0001977803,0.9653534,0.02202252,0.0005643319,0.0003331098,0.0002262945,0.00007534958,0.008946934],"genre_scores_gemma":[0.9227241,0.0004118425,0.03529786,0.00542823,0.0008025708,0.0001773859,0.0001130253,0.00003437227,0.03501062],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9300555,"threshold_uncertainty_score":0.1913171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07050509585151439,"score_gpt":0.3552940082845318,"score_spread":0.2847889124330175,"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."}}