{"id":"W4403912260","doi":"10.2196/50662","title":"The Effect of Nutritional Mobile Apps on Populations With Cancer: Systematic Review","year":2024,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001248919,0.0005215811,0.003109938,0.0001566505,0.0009899413,0.00001150069,0.0004385649,0.0003576238,0.000372028],"category_scores_gemma":[0.00009943479,0.0002441641,0.0004549188,0.0009765015,0.00009189753,0.00003283346,0.00006443862,0.001481117,0.0005449132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009966708,"about_ca_system_score_gemma":0.002881209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003007528,"about_ca_topic_score_gemma":0.0005462675,"domain_scores_codex":[0.9946107,0.001457157,0.002178328,0.000541864,0.0005550478,0.0006568943],"domain_scores_gemma":[0.9946315,0.002199779,0.001636645,0.001033853,0.0002159368,0.0002823458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001552278,0.00001767355,0.000008100345,0.8447958,0.000103239,6.842926e-7,0.00001538348,0.000001004717,4.337581e-9,0.001845271,0.07444241,0.07875491],"study_design_scores_gemma":[0.00011804,0.0001108875,0.00000120078,0.4817159,0.00186145,0.000001926346,0.000005967999,0.000001570646,1.390751e-8,0.00001463553,0.5160657,0.0001026905],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[7.485391e-7,0.9352005,0.000003212086,0.0006878674,0.0008777596,0.0609639,0.001370247,0.00009887908,0.0007969612],"genre_scores_gemma":[0.000001633328,0.5615976,0.000006413498,0.0003713893,0.0003657551,0.4355235,0.0001708676,0.00006310511,0.00189975],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4416233,"threshold_uncertainty_score":0.9956722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08100159096207218,"score_gpt":0.5466474336750944,"score_spread":0.4656458427130222,"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."}}