{"id":"W1994036846","doi":"10.2196/mhealth.4011","title":"Mobile Access to ClinicalConnect: A User Feedback Survey on Usability, Productivity, and Quality","year":2015,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences","funders":"Government of Canada; Hamilton Health Sciences","keywords":"Usability; Computer science; Quality (philosophy); User interface; Mobile apps; Productivity; mHealth; World Wide Web; Human–computer interaction; Medicine; Psychological intervention; Nursing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008201843,0.0002867852,0.0005383865,0.000928718,0.0006275654,0.0007676248,0.000220805,0.0006757653,0.001973122],"category_scores_gemma":[0.02514217,0.0001801965,0.000594383,0.0005633563,0.0003321578,0.0006909664,0.0009343072,0.0005145312,0.0003341983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006971672,"about_ca_system_score_gemma":0.0007675216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003738202,"about_ca_topic_score_gemma":0.004964296,"domain_scores_codex":[0.996443,0.001620421,0.0004014328,0.0002097633,0.0009149059,0.0004105379],"domain_scores_gemma":[0.9796329,0.009655327,0.00241658,0.0004330635,0.005917849,0.001944246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008589586,0.001470302,0.8814559,0.0005264633,0.0001369466,0.0004272559,0.03042099,0.0003673948,0.002704091,0.00007423755,0.004368598,0.07718886],"study_design_scores_gemma":[0.00007238123,0.005011016,0.9662027,0.0001699865,0.00008258207,0.0005888166,0.01923505,0.00180619,0.001013303,0.0000453577,0.005687766,0.00008484017],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982731,0.0001012766,0.0002724876,0.0001621513,0.000007969281,0.0001292111,0.0002158909,0.00001794012,0.0008199104],"genre_scores_gemma":[0.9975744,0.0001659849,0.0008565104,0.0002328554,0.00001376971,0.0002587446,0.0002198125,0.000009855642,0.0006680196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008201843,"threshold_uncertainty_score":0.04337597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3811226974747387,"score_gpt":0.58053016396631,"score_spread":0.1994074664915713,"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."}}