{"id":"W7099092786","doi":"","title":"Fruit and Vegetable Consumption and Body Mass Index: A Quantile Regression Approach","year":2016,"lang":"en","type":"article","venue":"","topic":"Sunflower and Safflower Cultivation","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quantile regression; Quantile; Body mass index; Consumption (sociology); Multivariate statistics; Linear regression; Regression analysis; Ordinary least squares","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001308162,0.00008527865,0.00009364208,0.000008487073,0.0001207861,0.00004442804,0.00004637692,0.00007677767,0.0002563979],"category_scores_gemma":[0.0000237573,0.00002121915,0.0000173252,0.00006133752,0.00005293426,0.0002047277,0.00003488519,0.00003479569,0.00001399794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006687502,"about_ca_system_score_gemma":0.000001588843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005519487,"about_ca_topic_score_gemma":0.00002785789,"domain_scores_codex":[0.9993976,0.00003235204,0.00009898757,0.0002306945,0.0001040031,0.000136308],"domain_scores_gemma":[0.9997595,0.00008860136,0.00003122362,0.00003147436,0.00002434102,0.00006484122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002694178,0.00002456065,0.4033685,0.000005505168,0.000004056325,4.735428e-7,0.00002129475,4.944547e-8,0.554566,0.0006652374,0.0002348305,0.04108256],"study_design_scores_gemma":[0.0003156666,0.00007531693,0.9866003,0.00003505234,0.00000541652,0.000008090225,0.0001018097,0.0003090475,0.006954515,0.0007648386,0.004688299,0.0001415802],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966906,0.0001682873,0.000337367,0.0004319934,0.00004527768,0.0001272831,0.000004966147,0.00005564925,0.002138585],"genre_scores_gemma":[0.998202,0.0001639715,0.0002359321,0.00006570538,0.00005211098,0.00001015688,0.000009133104,5.374101e-7,0.001260466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5832319,"threshold_uncertainty_score":0.2807377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02751733757643766,"score_gpt":0.2323827225190729,"score_spread":0.2048653849426352,"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."}}