{"id":"W4297939025","doi":"","title":"“Facecook”, design and rool-out of a community based social network to promote healthy eating practices amongst low income population”","year":2017,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nutrasource","funders":"","keywords":"Population; Low income; Computer science; Sociology; Socioeconomics; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001996374,0.0005381122,0.0001735885,0.0004056349,0.001429457,0.001379716,0.001020828,0.0009947981,0.01082937],"category_scores_gemma":[0.004106552,0.0002064589,0.0003776869,0.0001372051,0.0006063039,0.001577001,0.00215818,0.0006811792,0.001591515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006058156,"about_ca_system_score_gemma":0.001629601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001590608,"about_ca_topic_score_gemma":0.004716464,"domain_scores_codex":[0.9987489,0.0008076379,0.00003204527,0.0001271977,0.0001491197,0.0001351565],"domain_scores_gemma":[0.998446,0.0004678988,0.00007373362,0.0001772362,0.0002691414,0.0005660077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003502881,0.008311516,0.02282089,0.002345223,0.0001427891,0.001032729,0.02745923,0.005132265,0.06197193,0.02139432,0.07850251,0.7673836],"study_design_scores_gemma":[0.003341848,0.02758629,0.06033264,0.0009927113,0.0006268366,0.001185946,0.06262022,0.06291611,0.05847544,0.02576517,0.6956401,0.0005166514],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7201696,0.0003374105,0.1776942,0.007646866,0.001329488,0.009640435,0.0008648031,0.002743473,0.07957375],"genre_scores_gemma":[0.7155681,0.0003327591,0.2151049,0.001963601,0.000139562,0.005997266,0.0007502317,0.0004002782,0.05974331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01082937,"threshold_uncertainty_score":0.03622782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0789235528880744,"score_gpt":0.3974026219447358,"score_spread":0.3184790690566614,"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."}}