{"id":"W4323664339","doi":"10.1016/j.gastha.2023.03.001","title":"A Systematic Assessment of the Quality of Smartphone Applications for Gastroesophageal Reflux Disease","year":2023,"lang":"en","type":"article","venue":"Gastro Hep Advances","topic":"Gastroesophageal reflux and treatments","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Ontario Ministry of Research and Innovation; Ontario Ministry of Research, Innovation and Science","keywords":"Reflux; Disease; Medicine; Quality assessment; Computer science; Internal medicine; Pathology; External quality assessment","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000414522,0.0001659126,0.0005907231,0.00008555008,0.00009520793,0.000005762241,0.0001706155,0.0000260254,0.00001134687],"category_scores_gemma":[0.0001993579,0.0001045334,0.0003084646,0.0003848035,0.0001322593,0.00007396562,0.00005932349,0.00007721064,0.000007037869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006161191,"about_ca_system_score_gemma":0.0001348357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004024529,"about_ca_topic_score_gemma":0.000003058412,"domain_scores_codex":[0.9981939,0.00009648182,0.0006897913,0.0002568943,0.0004720482,0.0002908708],"domain_scores_gemma":[0.9983619,0.0002412013,0.0004551153,0.0006131782,0.0001709364,0.0001576095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002886675,0.0009336302,0.946144,0.04465677,0.0004392212,0.00001986362,0.00009173827,0.0006341938,0.002401513,0.001850672,0.0001226181,0.002417054],"study_design_scores_gemma":[0.002293689,0.0003732251,0.9925904,0.001541462,0.0004470943,0.000005056942,0.0001197669,0.0005540427,0.001043057,0.0009398108,0.00004016099,0.0000522105],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691764,0.0009342458,0.02267832,0.0003547805,0.0002019785,0.005579881,0.0007356141,0.0001180449,0.0002207975],"genre_scores_gemma":[0.9890282,0.00003940008,0.008899161,0.00004179283,0.00004776086,0.001328537,0.00009146355,0.00001948508,0.0005041836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04644636,"threshold_uncertainty_score":0.4262749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02932126961492826,"score_gpt":0.3934398241431445,"score_spread":0.3641185545282163,"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."}}