{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007240218,0.000122518,0.0001404454,0.002434199,0.001031479,0.0008941584,0.0001515135,0.0005648722,0.01152273],"category_scores_gemma":[0.006058951,0.000212326,0.0001458227,0.005179892,0.0005485009,0.001131809,0.0008695584,0.0008333042,0.003164669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005728372,"about_ca_system_score_gemma":0.0009099195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02673369,"about_ca_topic_score_gemma":0.02744732,"domain_scores_codex":[0.9993135,0.0001418938,0.00009663431,0.00008023652,0.000261406,0.0001063938],"domain_scores_gemma":[0.9965997,0.0009803307,0.001077421,0.0001628171,0.0006338902,0.0005457189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002244959,0.0004420438,0.7011761,0.0004280572,0.0000545159,0.001496025,0.01176412,0.0000631783,0.001011753,0.002602495,0.1709462,0.1097911],"study_design_scores_gemma":[0.00002001161,0.0002717876,0.8483368,0.0003899015,0.00003353248,0.001462087,0.01648183,0.0001149385,0.0004516907,0.0004786417,0.1319293,0.00002941382],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9039699,0.005618655,0.0001231146,0.02248237,0.0002203181,0.00009920973,0.01713582,0.00004791337,0.05030277],"genre_scores_gemma":[0.9314451,0.01312686,0.0003059769,0.007602108,0.0007632936,0.00005850174,0.01413946,0.00002166208,0.03253703],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02673369,"threshold_uncertainty_score":0.0531562,"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."}}