{"id":"W4388696334","doi":"10.2196/46237","title":"Collection and Analysis of Adherence Information for Software as a Medical Device Clinical Trials: Systematic Review","year":2023,"lang":"en","type":"review","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data collection; Clinical trial; Software; Computer science; Medicine; Medical physics; Psychology; Statistics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1008762,0.002953043,0.01830724,0.02579711,0.001503614,0.006189414,0.004206774,0.003707343,0.008710857],"category_scores_gemma":[0.3857627,0.002486209,0.01704529,0.02289519,0.002432887,0.00632385,0.003355556,0.003204303,0.001057846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00985844,"about_ca_system_score_gemma":0.04007488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007862373,"about_ca_topic_score_gemma":0.01681567,"domain_scores_codex":[0.8140115,0.08849545,0.0652729,0.006251413,0.02468779,0.001281],"domain_scores_gemma":[0.5246775,0.345705,0.08378828,0.0112835,0.03301513,0.001530647],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001807967,0.00001986749,0.0006747111,0.9598863,0.01324956,0.00003794376,0.0002142107,0.00009238876,0.00006126456,0.0002275117,0.001692536,0.02366302],"study_design_scores_gemma":[0.0005578179,0.0001731365,0.002357155,0.935268,0.0509886,0.00008883359,0.0002227422,0.0001520205,0.0001899106,0.000544222,0.009406829,0.00005064347],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00235055,0.9658725,0.004069784,0.001737883,0.0006388956,0.01905493,0.004708062,0.0001323953,0.001435118],"genre_scores_gemma":[0.05947122,0.8502907,0.0235023,0.003579951,0.0006371343,0.05833558,0.003481202,0.0000881432,0.0006138429],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8991237,"threshold_uncertainty_score":0.533491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4584293691717218,"score_gpt":0.6519172688646486,"score_spread":0.1934878996929268,"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."}}