{"id":"W3118759640","doi":"10.1007/s00270-020-02755-4","title":"The FEMME Trial: At Risk for Misinterpretation and “Fake News”","year":2021,"lang":"en","type":"letter","venue":"CardioVascular and Interventional Radiology","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; University of Toronto","funders":"","keywords":"Risk communication; Medicine; Psychology; Environmental health","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":[0.01020035,0.000636499,0.001437759,0.0007144371,0.003587001,0.004060398,0.001263791,0.05030639,0.01207996],"category_scores_gemma":[0.06572106,0.0005015098,0.0008978529,0.0005527984,0.002511571,0.002799854,0.001281502,0.02212512,0.006288492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001802605,"about_ca_system_score_gemma":0.003603055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003093706,"about_ca_topic_score_gemma":0.006547625,"domain_scores_codex":[0.9940777,0.003363946,0.0004201142,0.0004608775,0.001147881,0.0005296246],"domain_scores_gemma":[0.9561139,0.03394171,0.002787757,0.001434194,0.002068512,0.003653884],"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":[0.001364311,0.0001154449,0.00423348,0.00008920229,0.0001036076,0.003448037,0.0003926474,0.00005541296,0.0003148397,0.007535685,0.9561819,0.02616544],"study_design_scores_gemma":[0.002811901,0.000705021,0.008365983,0.0009777481,0.0003633397,0.00616886,0.001053878,0.001582164,0.001339579,0.04016198,0.9362901,0.0001794979],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003337111,0.001090984,0.0001815873,0.9752336,0.006527793,0.00002906938,0.0002777956,0.00004272099,0.01327948],"genre_scores_gemma":[0.02499378,0.0008002094,0.0004436281,0.9419838,0.02063214,0.00008904804,0.0001391234,0.00004480547,0.0108734],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05030639,"threshold_uncertainty_score":0.05394524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1165892074625816,"score_gpt":0.3776255876527557,"score_spread":0.2610363801901741,"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."}}