{"id":"W1971275560","doi":"10.1097/opx.0b013e3181ff9b80","title":"Patient Use of Smartphones to Communicate Subjective Data in Clinical Trials","year":2010,"lang":"en","type":"article","venue":"Optometry and Vision Science","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Clinical trial; Computer science; Web application; Set (abstract data type); Data collection; Data set; Medicine; World Wide Web; Artificial intelligence; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.04210794,0.0007957193,0.00105362,0.001671168,0.0005187367,0.002398005,0.0008158669,0.001283095,0.007864624],"category_scores_gemma":[0.09717378,0.0003725422,0.0007219603,0.001412607,0.0006415417,0.001395641,0.001542132,0.0008624401,0.002359074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003946368,"about_ca_system_score_gemma":0.0008041204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001366975,"about_ca_topic_score_gemma":0.0002964213,"domain_scores_codex":[0.9043859,0.08110986,0.006350508,0.001958161,0.005761117,0.0004344423],"domain_scores_gemma":[0.8420771,0.1033796,0.0292744,0.01102921,0.01261703,0.001622764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01362847,0.001414716,0.05146896,0.01261971,0.001504123,0.0007380545,0.00439193,0.0008156875,0.02139115,0.001692684,0.02491103,0.8654234],"study_design_scores_gemma":[0.01689762,0.07387031,0.3935376,0.01475858,0.004690009,0.010324,0.005389669,0.01538134,0.1256162,0.01039426,0.3280647,0.001075603],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5527314,0.04654762,0.2360595,0.01800824,0.003723135,0.03379778,0.01066962,0.00528872,0.0931741],"genre_scores_gemma":[0.8385884,0.01089261,0.1098419,0.005734067,0.002258926,0.02565228,0.00169999,0.0002191274,0.005112785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04210794,"threshold_uncertainty_score":0.2226908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3160474968244371,"score_gpt":0.6518318266591965,"score_spread":0.3357843298347594,"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."}}