{"id":"W7111215123","doi":"10.1371/journal.pdig.0000861.s004","title":"Participant Flow.","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thematic analysis; Qualitative research; Observational study; Health care; Preparedness; Digital health; Qualitative property; Health professionals","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.009871299,0.0007309856,0.0009509528,0.001225515,0.003715377,0.002989336,0.001650741,0.001931465,0.5580484],"category_scores_gemma":[0.02206103,0.0005628481,0.0005647587,0.001510233,0.0006293512,0.00227736,0.004687548,0.001888194,0.1637902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001688596,"about_ca_system_score_gemma":0.007757897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004087056,"about_ca_topic_score_gemma":0.006020724,"domain_scores_codex":[0.9949116,0.002603216,0.0003489343,0.0009662114,0.0005255798,0.0006444785],"domain_scores_gemma":[0.9911819,0.003727926,0.0002292291,0.0008838275,0.002830477,0.001146714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00158315,0.0006098055,0.002647846,0.003220215,0.00001212115,0.0003549216,0.03389127,0.0001089851,0.0009193346,0.01041861,0.6868379,0.2593959],"study_design_scores_gemma":[0.0003402285,0.0002280142,0.001896227,0.001119092,0.000009779231,0.0001047267,0.01091189,0.0001330024,0.0003279486,0.002759089,0.9821427,0.00002714223],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03454716,0.002496316,0.02290257,0.01474857,0.008810178,0.07904272,0.1940799,0.005464813,0.6379079],"genre_scores_gemma":[0.1038636,0.001844702,0.0365691,0.01517168,0.0008466716,0.3737038,0.03595298,0.002144455,0.4299031],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4419516,"threshold_uncertainty_score":0.6303903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2331721215852652,"score_gpt":0.4833116549975019,"score_spread":0.2501395334122368,"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."}}