{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009571929,0.0002098054,0.0006370766,0.0000809854,0.0003648033,0.00005394768,0.00007591208,0.0005804754,0.00005163249],"category_scores_gemma":[0.001078806,0.0001567409,0.001414635,0.0000547823,0.0002558308,0.00003763892,0.00005256818,0.0006381848,0.000008746158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001391884,"about_ca_system_score_gemma":0.0001256773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001646317,"about_ca_topic_score_gemma":0.00005455026,"domain_scores_codex":[0.9979541,0.0004682486,0.0005689299,0.0005157533,0.0002027209,0.0002902745],"domain_scores_gemma":[0.9980733,0.0009546566,0.000176826,0.0003977618,0.0003193723,0.00007809584],"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":[0.002798794,0.00002969946,0.0006341605,0.0005628143,0.003382056,0.00004559247,0.0002015002,0.000004103146,0.000005359017,0.0001527747,0.8700073,0.1221759],"study_design_scores_gemma":[0.001566421,0.0007865197,0.0005627861,0.0001995281,0.001174417,0.0008478371,0.0001837249,0.0001526007,0.00004904628,0.002130675,0.9921887,0.0001577519],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1065192,0.308744,0.01347104,0.556295,0.01014038,0.003918197,0.0002026749,0.00006558592,0.0006439527],"genre_scores_gemma":[0.1941333,0.1171187,0.002297608,0.5274782,0.0874631,0.004977119,0.01710925,0.0004892891,0.04893343],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1916253,"threshold_uncertainty_score":0.6391709,"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."}}