{"id":"W4361801996","doi":"10.2196/44826","title":"iFood, a Social Media-based Applet for Dietary Management: Development and Usability Study (Preprint)","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Preprint; Usability; Social media; Java applet; Computer science; World Wide Web; Human–computer interaction; Operating system; Java","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":[0.003068115,0.0007660048,0.0004965116,0.001123236,0.000570251,0.001040463,0.0004884066,0.0007035224,0.008471462],"category_scores_gemma":[0.008332905,0.0002723103,0.0006207837,0.0003895173,0.0003129543,0.001400008,0.0007261847,0.0004666305,0.001249909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002352565,"about_ca_system_score_gemma":0.0004813475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009244771,"about_ca_topic_score_gemma":0.001761405,"domain_scores_codex":[0.9993986,0.0001952227,0.00006445104,0.0001026633,0.0001995082,0.00003948302],"domain_scores_gemma":[0.9960536,0.002905481,0.0001095725,0.0001966032,0.0005955278,0.000139222],"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":[0.004341913,0.003553718,0.01744043,0.005072787,0.0002117573,0.0007877935,0.009261383,0.0003918071,0.1050974,0.0008194636,0.01107031,0.8419513],"study_design_scores_gemma":[0.002510321,0.03527699,0.3281545,0.002967026,0.004009599,0.006207317,0.01343885,0.0125546,0.2214001,0.002801459,0.3698325,0.0008469432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8818269,0.002800136,0.07921609,0.001091849,0.0007100684,0.005804783,0.003963784,0.00541362,0.01917278],"genre_scores_gemma":[0.5810838,0.002981266,0.3540145,0.00108618,0.0002406867,0.00491085,0.003775026,0.001987953,0.04991966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008471462,"threshold_uncertainty_score":0.02833986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1948370811511344,"score_gpt":0.5324010318139033,"score_spread":0.3375639506627689,"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."}}