{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006839643,0.0016739,0.009096394,0.005823489,0.0007500523,0.002465803,0.001713839,0.001916572,0.005069297],"category_scores_gemma":[0.03575538,0.001002547,0.01023761,0.006551147,0.0008155886,0.00222348,0.001595077,0.001450612,0.0002910555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003014418,"about_ca_system_score_gemma":0.0098441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007067208,"about_ca_topic_score_gemma":0.02003833,"domain_scores_codex":[0.9938578,0.002553965,0.001807614,0.0004586072,0.001123775,0.0001983217],"domain_scores_gemma":[0.9802212,0.01477964,0.003025396,0.0002396539,0.001474975,0.0002591365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0003262953,0.00002528172,0.0004073587,0.9652331,0.00956965,0.00004733926,0.00012846,0.0000622869,0.00008298115,0.00007531011,0.0005655762,0.02347641],"study_design_scores_gemma":[0.0007346912,0.0005833211,0.00418269,0.8315613,0.1505092,0.0002539886,0.000295882,0.0001382254,0.0002439172,0.0002066869,0.01125191,0.00003820432],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001816177,0.9967046,0.0001203873,0.0001788289,0.00009318071,0.0005765997,0.0002489795,0.00001167255,0.0002495977],"genre_scores_gemma":[0.02420018,0.9730124,0.0007217407,0.0004348006,0.00007659785,0.001256804,0.000168304,0.000006276654,0.0001228214],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009096394,"threshold_uncertainty_score":0.03617197,"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."}}