{"id":"W4213070033","doi":"10.1111/nmo.14331","title":"Standardized system and App for continuous patient symptom logging in gastroduodenal disorders: Design, implementation, and validation","year":2022,"lang":"en","type":"article","venue":"Neurogastroenterology & Motility","topic":"Gastrointestinal motility and disorders","field":"Medicine","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Health Research Council of New Zealand","keywords":"Logging; Gastroduodenal ulcer; Medicine; Computer science; Internal medicine; Forestry; Geography","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":[0.02900812,0.0009107192,0.0004629735,0.001113045,0.0005880744,0.001257845,0.001683632,0.0009245296,0.003444655],"category_scores_gemma":[0.03143447,0.0005842244,0.0009363145,0.000466857,0.00132225,0.001191319,0.001738879,0.0008447023,0.001006054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001227488,"about_ca_system_score_gemma":0.004150205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001909908,"about_ca_topic_score_gemma":0.002143929,"domain_scores_codex":[0.9858546,0.008458833,0.001832351,0.0009586997,0.002249882,0.0006457673],"domain_scores_gemma":[0.9786801,0.008844791,0.00121934,0.002085495,0.008373784,0.0007964363],"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":[0.01012852,0.03958619,0.1791565,0.00558809,0.0007382474,0.001117746,0.01672618,0.006353497,0.05574542,0.003953893,0.01359455,0.6673112],"study_design_scores_gemma":[0.01418425,0.1923328,0.4773218,0.004027825,0.002492333,0.002646351,0.01770706,0.06210996,0.1394237,0.003380835,0.0834944,0.0008785584],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8218573,0.0002450652,0.09097057,0.0003707042,0.0001957355,0.08047752,0.001162293,0.001690637,0.003030169],"genre_scores_gemma":[0.6224845,0.0004581225,0.2812006,0.0004862814,0.00008688253,0.09044513,0.001937376,0.0002206991,0.002680292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02900812,"threshold_uncertainty_score":0.1534114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0117811017084503,"score_gpt":0.2609618376388758,"score_spread":0.2491807359304255,"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."}}