{"id":"W2969554130","doi":"10.2196/12966","title":"A Mobile Phone App for the Provision of Personalized Food-Based Information in an Eating-Out Situation: Development and Initial Evaluation","year":2019,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Aristotle University of Thessaloniki; European Commission; Bournemouth University","keywords":"Mobile phone; Mobile apps; Internet privacy; World Wide Web; Computer science; Phone; Multimedia; Psychology; Telecommunications","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":[0.004242103,0.000997753,0.00057803,0.0008950671,0.0005494582,0.001491246,0.001339789,0.001506409,0.003234244],"category_scores_gemma":[0.009517504,0.000436701,0.0005387979,0.0003303262,0.0005709001,0.001287678,0.001142359,0.0007574113,0.001221538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004665832,"about_ca_system_score_gemma":0.001558963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001208639,"about_ca_topic_score_gemma":0.00197116,"domain_scores_codex":[0.9980417,0.0007710697,0.0001731462,0.0001488326,0.0006439624,0.0002212211],"domain_scores_gemma":[0.9944455,0.003275576,0.0001637672,0.0001728374,0.001649145,0.0002932789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005213682,0.01504778,0.02679985,0.01607641,0.0002951281,0.007362795,0.02868376,0.003875192,0.1024626,0.002018948,0.01801059,0.7741532],"study_design_scores_gemma":[0.005664038,0.1242824,0.2528836,0.01158412,0.002298935,0.01690067,0.03718288,0.05562641,0.187943,0.002635204,0.3019419,0.0010568],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9157466,0.001260484,0.03810013,0.0004867778,0.0002187127,0.03070451,0.001365912,0.00168653,0.0104303],"genre_scores_gemma":[0.6800537,0.00310671,0.264423,0.0008013161,0.00008760753,0.03152446,0.002427388,0.0004058329,0.01717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004242103,"threshold_uncertainty_score":0.02243465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.104973714630032,"score_gpt":0.4472540499702893,"score_spread":0.3422803353402573,"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."}}