{"id":"W2911861944","doi":"10.2196/11917","title":"Weight Loss Following Use of a Smartphone Food Photo Feature: Retrospective Cohort Study","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Weight loss; Medicine; Overweight; Body mass index; Calorie; Retrospective cohort study; Feature (linguistics); Food intake; Obesity; Demography; Internal medicine","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":[0.0009819915,0.0003405814,0.0004769264,0.0006854385,0.0006829788,0.0008487211,0.0004735396,0.0006876162,0.001783532],"category_scores_gemma":[0.002520364,0.0006685,0.000951396,0.001321855,0.0002938255,0.0007555658,0.0005199857,0.00115083,0.0004226928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003314318,"about_ca_system_score_gemma":0.0003598951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0101775,"about_ca_topic_score_gemma":0.01095109,"domain_scores_codex":[0.9992035,0.0001372297,0.0001095619,0.0002431332,0.0001892083,0.0001173744],"domain_scores_gemma":[0.9983537,0.0002101423,0.0007970731,0.0002251331,0.0002399155,0.0001741058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002012622,0.00007239796,0.9985158,0.00002602181,0.0001271978,0.0000532469,0.0001036494,0.000009925926,0.0001033381,0.00001314435,0.0001348287,0.0006390814],"study_design_scores_gemma":[0.00001941414,0.0002665065,0.9985984,0.00002709259,0.0001406282,0.0002396906,0.0003228381,0.00009863196,0.00003657839,0.0000179661,0.000225172,0.000006930316],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982461,0.000416031,0.0001319603,0.00003397118,0.00001107214,0.00003968779,0.0007481505,0.000003586059,0.0003695115],"genre_scores_gemma":[0.9987255,0.0002478377,0.0001142269,0.00005847053,0.00001132852,0.00004229139,0.0005798688,0.000003885981,0.0002165783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0101775,"threshold_uncertainty_score":0.02023649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05005319664182685,"score_gpt":0.4128064293748364,"score_spread":0.3627532327330096,"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."}}