{"id":"W2800799942","doi":"10.1515/cclm-2018-0353","title":"The meteoric rise and dramatic fall of Theranos: lessons learned for the diagnostic industry","year":2018,"lang":"en","type":"article","venue":"Clinical Chemistry and Laboratory Medicine (CCLM)","topic":"Clinical Laboratory Practices and Quality Control","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network; Mount Sinai Hospital","funders":"","keywords":"Secrecy; Conviction; Commission; Nothing; Test (biology); Fall of man; Closure (psychology); Political science; Law; History; Medicine; Philosophy","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":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.005630662,0.0002545401,0.0007934698,0.00001284297,0.0004340657,0.00003621542,0.0002491478,0.0005316655,0.0001048494],"category_scores_gemma":[0.05483559,0.000129049,0.0001165902,0.0003178791,0.003222899,0.00007932631,0.00008879741,0.001241231,0.000004152261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001402581,"about_ca_system_score_gemma":0.0003055861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001875133,"about_ca_topic_score_gemma":0.00001556543,"domain_scores_codex":[0.9972969,0.0003602492,0.001237609,0.0004675391,0.0003191979,0.0003184815],"domain_scores_gemma":[0.9570286,0.04043863,0.0006155842,0.0007779668,0.000724536,0.0004146741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01861556,0.00373856,0.2436083,0.00704428,0.006629832,0.0001395987,0.004595642,0.000004450002,0.04338837,0.01189558,0.1054669,0.5548729],"study_design_scores_gemma":[0.01654834,0.003511224,0.0499364,0.001146676,0.003787595,0.00002645067,0.005997496,0.001155308,0.003275632,0.00294275,0.9111336,0.0005384896],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8809343,0.01826188,0.0001821075,0.0983117,0.0005174595,0.0008900901,0.00008923472,0.00004832841,0.000764893],"genre_scores_gemma":[0.9876488,0.005150467,0.00009696442,0.003700366,0.002534889,0.00007176475,0.000007053707,0.00003045661,0.0007592465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8056667,"threshold_uncertainty_score":0.9994898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1321106269510806,"score_gpt":0.4627729791957828,"score_spread":0.3306623522447022,"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."}}