{"id":"W2801205889","doi":"10.2196/mhealth.9781","title":"The SPLENDID Eating Detection Sensor: Development and Feasibility Study","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Psychology","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":[0.004386961,0.0007709603,0.0005430171,0.000624337,0.0003747976,0.0007419151,0.001804715,0.001508021,0.002301533],"category_scores_gemma":[0.004548112,0.0004047994,0.0006216007,0.0002712738,0.0006705214,0.001618377,0.001188908,0.0007902932,0.0008802917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003774666,"about_ca_system_score_gemma":0.001466113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001063556,"about_ca_topic_score_gemma":0.00112177,"domain_scores_codex":[0.9977373,0.0008434822,0.0001898652,0.0003193766,0.0007048962,0.000205123],"domain_scores_gemma":[0.9977574,0.0006318999,0.0001419846,0.0001780636,0.0009605651,0.0003301417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005669801,0.02431146,0.1523227,0.005599675,0.0002805073,0.01064492,0.01271703,0.002300927,0.4445553,0.00274232,0.008916426,0.3299389],"study_design_scores_gemma":[0.002396674,0.2785123,0.2536043,0.001155588,0.0009958119,0.02886661,0.02245415,0.03334118,0.2753213,0.001395889,0.1013279,0.0006284059],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9478099,0.0006348949,0.03893467,0.0007201962,0.0001619599,0.007600588,0.0007384384,0.0002620018,0.003137355],"genre_scores_gemma":[0.8623778,0.00111932,0.1242705,0.0007064894,0.00007035099,0.005126453,0.001390665,0.0000845809,0.004853878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004386961,"threshold_uncertainty_score":0.02320075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09095335120771955,"score_gpt":0.4081032722011657,"score_spread":0.3171499209934461,"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."}}