{"id":"W3060984286","doi":"10.2196/21584","title":"Breast Self-Examination System Using Multifaceted Trustworthiness: Observational Study","year":2020,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Observational study; Computer science; Trustworthiness; Medicine; Medical physics; Computer security; Pathology","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":[0.009567172,0.0002705362,0.0006153962,0.00115975,0.002181751,0.001361386,0.0006416084,0.0007022373,0.002191864],"category_scores_gemma":[0.03192137,0.000589315,0.0008894124,0.0008855446,0.001126646,0.001557294,0.00204709,0.001707984,0.0003440821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001923399,"about_ca_system_score_gemma":0.002707648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007092908,"about_ca_topic_score_gemma":0.008903743,"domain_scores_codex":[0.9933235,0.003753002,0.0008880785,0.0005153546,0.0009101874,0.0006098582],"domain_scores_gemma":[0.9725907,0.01450983,0.006754347,0.00126242,0.003139416,0.001743202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002835066,0.001285107,0.89331,0.0005894664,0.0001117994,0.0008902384,0.09073779,0.0001104971,0.0005031925,0.0002796183,0.0005734146,0.01132543],"study_design_scores_gemma":[0.0001059407,0.003040912,0.7594618,0.000650347,0.0002176204,0.001715584,0.2257911,0.002350963,0.0008317578,0.0004566754,0.005238529,0.0001389087],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984048,0.0001708415,0.0005144382,0.0000816788,0.00000508163,0.0002591359,0.0001362813,0.000002611492,0.0004251797],"genre_scores_gemma":[0.9985439,0.000159808,0.0007087805,0.00006900634,0.000005438624,0.000243215,0.00009135108,0.000002992469,0.0001754074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009567172,"threshold_uncertainty_score":0.05059665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1984255059227433,"score_gpt":0.4266186121129493,"score_spread":0.228193106190206,"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."}}