{"id":"W4321003278","doi":"10.1515/cclm-2023-0110","title":"Please do not call it Theranos","year":2023,"lang":"en","type":"letter","venue":"Clinical Chemistry and Laboratory Medicine (CCLM)","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"","keywords":"Medicine; 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":[0.002553194,0.001113098,0.001513286,0.001045428,0.008459114,0.007400012,0.00198141,0.06673232,0.138458],"category_scores_gemma":[0.02287674,0.0008681468,0.001556615,0.0005924084,0.002516854,0.003883259,0.003822758,0.04089803,0.1039998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004832638,"about_ca_system_score_gemma":0.008199221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008689362,"about_ca_topic_score_gemma":0.01789726,"domain_scores_codex":[0.996097,0.0005355942,0.0003145277,0.000630482,0.001143576,0.001278802],"domain_scores_gemma":[0.9887643,0.002622977,0.0007106403,0.0003585126,0.001994758,0.005548872],"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":[0.00002122139,0.00004476521,0.0003553935,0.00002210913,0.000005970886,0.001030761,0.0000612419,0.00002259757,0.0001121397,0.001487587,0.9925652,0.004270838],"study_design_scores_gemma":[0.00006144178,0.0000481188,0.0007905213,0.0002146456,0.00001439313,0.000834953,0.0004284653,0.0001904642,0.000104415,0.003339513,0.993929,0.00004402153],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.000489954,0.0006517148,0.0001736452,0.9078015,0.04876265,0.0000804539,0.0001276992,0.0001773078,0.04173502],"genre_scores_gemma":[0.002066014,0.0003499913,0.0001364506,0.8418478,0.02034552,0.00007619667,0.00003985126,0.00006346823,0.1350747],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.138458,"threshold_uncertainty_score":0.4631881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05844775683464515,"score_gpt":0.3631667940159665,"score_spread":0.3047190371813213,"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."}}