{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010157,0.0002380489,0.0003798192,0.0009375272,0.0005160885,0.001224169,0.0004981848,0.0007469872,0.001908028],"category_scores_gemma":[0.01872358,0.0004125432,0.0005742118,0.001001043,0.0008554616,0.00114189,0.001337204,0.0005886856,0.0005015265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001466472,"about_ca_system_score_gemma":0.0008444597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00354452,"about_ca_topic_score_gemma":0.003665873,"domain_scores_codex":[0.9919434,0.005232381,0.0008691425,0.0004326449,0.0009635772,0.000558928],"domain_scores_gemma":[0.9823009,0.008846994,0.00427776,0.0004938652,0.002891781,0.001188697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003767362,0.000642765,0.9048441,0.00079087,0.00008766235,0.0004914951,0.06699806,0.0002112049,0.000886479,0.0001851124,0.001029451,0.02345599],"study_design_scores_gemma":[0.00004596465,0.002869412,0.8709683,0.0002648738,0.00004415624,0.0006993266,0.1188205,0.0008298461,0.0004332219,0.00005814378,0.004915776,0.00005034186],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986219,0.00008782894,0.0001934652,0.0001452618,0.000003894965,0.0001206159,0.0001678725,0.000004236816,0.0006548821],"genre_scores_gemma":[0.9987544,0.0002023051,0.0003655098,0.0001511404,0.000004385885,0.0001888448,0.0001110376,0.000003225119,0.0002191142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.010157,"threshold_uncertainty_score":0.053716,"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."}}