{"id":"W4321383330","doi":"10.2196/42704","title":"Acceptability of Automated Robotic Clinical Breast Examination: Survey Study","year":2023,"lang":"en","type":"article","venue":"Journal of Participatory Medicine","topic":"AI in cancer detection","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Cancer Research UK","keywords":"Mammography; Breast imaging; Breast cancer; Medicine; Artificial intelligence; Population; Modality (human–computer interaction); Medical physics; Medical education; Family medicine; Computer science; Cancer","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0167057,0.0001174217,0.0005727662,0.0002755047,0.00005542402,0.00001313104,0.0006387117,0.00006354129,0.0001198685],"category_scores_gemma":[0.00182482,0.00008769777,0.00008376902,0.001383767,0.0002066806,0.0003732051,0.0001295952,0.0002835555,0.00001826923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009831468,"about_ca_system_score_gemma":0.0002136108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006239636,"about_ca_topic_score_gemma":0.00009157593,"domain_scores_codex":[0.9953342,0.001813715,0.001548169,0.0002214235,0.0008625914,0.0002198977],"domain_scores_gemma":[0.9966813,0.001085712,0.0007728183,0.0004954137,0.000766824,0.000197886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007159935,0.0006221207,0.9514378,0.0000385155,0.0001419469,0.00008284778,0.003263017,0.002536574,0.0001725718,0.00002460841,0.004164219,0.03744413],"study_design_scores_gemma":[0.001123675,0.001609908,0.9355093,0.00003539131,0.00005136317,0.00005887232,0.0004366009,0.06096101,0.00007786584,0.00005173275,0.00001825421,0.00006606115],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811283,0.00005614072,0.01529974,0.0005294118,0.002637018,0.0001640075,0.000001219358,0.0001468145,0.00003736157],"genre_scores_gemma":[0.999317,0.00001133177,0.000258941,0.00003663999,0.0003441653,0.000004530943,5.65587e-7,0.000008516858,0.00001832695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05842444,"threshold_uncertainty_score":0.5789897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2580258221710583,"score_gpt":0.4671979663763273,"score_spread":0.209172144205269,"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."}}