{"id":"W3178886800","doi":"10.2196/24633","title":"Digital Medical Device Companion (MyIUS) for New Users of Intrauterine Systems: App Development Study","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bayer","keywords":"Context (archaeology); Computer science; Digital health; Medicine; Software deployment; Personalization; Multidisciplinary approach; Process management; Health care; Medical emergency; World Wide Web; Engineering","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":[0.004784155,0.0004101667,0.0003013383,0.0009009633,0.0005185585,0.001262184,0.0006161213,0.0007445014,0.003302423],"category_scores_gemma":[0.01784967,0.0003410522,0.0004784915,0.0002990057,0.0004337593,0.001397635,0.001171148,0.0008111723,0.0008408257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004958275,"about_ca_system_score_gemma":0.001297186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006742126,"about_ca_topic_score_gemma":0.001198564,"domain_scores_codex":[0.9981593,0.0008443263,0.0001374094,0.000184376,0.0005019794,0.0001725059],"domain_scores_gemma":[0.9872934,0.008808124,0.0009085656,0.0004974215,0.001583727,0.0009087659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004276257,0.02728296,0.2592663,0.005261783,0.0002148138,0.005634336,0.0583114,0.001226452,0.01107611,0.004671931,0.01259884,0.6101788],"study_design_scores_gemma":[0.002787675,0.1105762,0.5986886,0.003543403,0.001193072,0.01408574,0.06494914,0.01880244,0.02483716,0.003052356,0.1570386,0.0004456111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901506,0.0003954601,0.002486111,0.0001895665,0.00003185981,0.002109894,0.000175902,0.00005798377,0.004402553],"genre_scores_gemma":[0.9600235,0.001238494,0.02813607,0.0005032893,0.00005272166,0.004110853,0.0004318838,0.00005109276,0.005452057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004784155,"threshold_uncertainty_score":0.02530134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06200740932899316,"score_gpt":0.4389795626942279,"score_spread":0.3769721533652347,"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."}}