{"id":"W2733300044","doi":"10.1016/j.jneb.2017.05.136","title":"The Impact of “Boosted” Nutrition-Related Posts on Facebook Engagement","year":2017,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Web and Library Services","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Boosting (machine learning); Social media; Promotion (chess); Advertising; Population; Page view; Psychology; Business; World Wide Web; Computer science; Demography; Political science; Sociology; The Internet","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002732086,0.00008171071,0.0001194519,0.0001237759,0.0004218686,0.0003434447,0.0005171127,0.00004352277,0.00004088043],"category_scores_gemma":[0.00002281382,0.00005307304,0.000114003,0.00005913676,0.00005004813,0.0009260633,0.00004281952,0.0001555324,0.000006095363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003366242,"about_ca_system_score_gemma":0.0001500353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000170925,"about_ca_topic_score_gemma":0.000001285081,"domain_scores_codex":[0.9992164,0.0000820678,0.000327318,0.00009027778,0.000190685,0.00009318988],"domain_scores_gemma":[0.998686,0.00007191488,0.0006274108,0.0002929033,0.0002302568,0.00009153673],"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":[0.0003047572,0.0691123,0.04935205,0.0003723762,0.0003011287,0.00004494534,0.005981181,0.00001500724,0.03778813,0.0365251,0.07004341,0.7301596],"study_design_scores_gemma":[0.001589712,0.001099875,0.9755312,0.000431095,0.00004739171,0.0001472218,0.0007260129,0.0000817746,0.004204456,0.002514445,0.01349678,0.0001299961],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931096,0.0005363303,0.00003586945,0.004390254,0.0007881447,0.0003642085,0.000004940823,0.000008703173,0.0007619492],"genre_scores_gemma":[0.9981741,0.000504786,0.0008386565,0.00006840203,0.0001413852,0.00003979015,0.000002814601,0.000003953992,0.0002260746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9261792,"threshold_uncertainty_score":0.3311845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02318516657422793,"score_gpt":0.327705604840422,"score_spread":0.3045204382661941,"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."}}