{"id":"W4410081823","doi":"10.2196/68516","title":"Leveraging Artificial Intelligence for Digital Symptom Management in Oncology: The Development of CRCWeb","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Computer science; Psychology; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005547768,0.0005391054,0.0002450686,0.00116763,0.0005540652,0.002201581,0.0009612889,0.0007322015,0.00200496],"category_scores_gemma":[0.01599524,0.0002996001,0.0006250609,0.0006031368,0.001274394,0.002219151,0.002811991,0.0009418542,0.0004214101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009420966,"about_ca_system_score_gemma":0.002826356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001179111,"about_ca_topic_score_gemma":0.002431882,"domain_scores_codex":[0.9972589,0.001746202,0.0001886435,0.0002184958,0.0004610473,0.0001267227],"domain_scores_gemma":[0.9927977,0.004944453,0.0003208817,0.000500703,0.0009741305,0.0004622279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003775482,0.001350852,0.01671157,0.004562568,0.0001250913,0.001572886,0.02762309,0.008774407,0.03954494,0.02137598,0.01055229,0.8674289],"study_design_scores_gemma":[0.0006458202,0.00499793,0.04182833,0.005900194,0.000844957,0.005110124,0.0258132,0.1083223,0.09264216,0.05198307,0.6613843,0.0005276101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5028183,0.002124815,0.4383397,0.008880905,0.000354072,0.007409822,0.0006852243,0.003755079,0.03563208],"genre_scores_gemma":[0.3656858,0.001136876,0.6250753,0.0008101983,0.0000458541,0.002194624,0.0006456304,0.0002327408,0.00417301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005547768,"threshold_uncertainty_score":0.02933973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.209754408651172,"score_gpt":0.5036952784250447,"score_spread":0.2939408697738727,"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."}}