{"id":"W7100874735","doi":"","title":"doi:10.1155/2012/934895 Research Article Targeting Policy for Obesity Prevention: Identifying the Critical Age for Weight Gain in Women","year":2013,"lang":"en","type":"article","venue":"","topic":"Educational Methods and Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Obesity; Overweight; Nova scotia; Psychological intervention; Weight gain; Cohort; Public health; Residence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007688935,0.001220944,0.001773433,0.001741075,0.0007406754,0.003836892,0.0009642995,0.002859944,0.703878],"category_scores_gemma":[0.001673131,0.000696664,0.0006792448,0.00179208,0.0007502242,0.001383557,0.00154097,0.002476724,0.5523379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001558561,"about_ca_system_score_gemma":0.001409025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01120152,"about_ca_topic_score_gemma":0.01143367,"domain_scores_codex":[0.9996471,0.00004066054,0.00002548304,0.00007695716,0.0001262565,0.00008347903],"domain_scores_gemma":[0.99882,0.0002353517,0.0001027807,0.0001464661,0.0002770285,0.0004183329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000454052,0.0004386932,0.001082609,0.0007170115,0.00005979827,0.0003012746,0.00002289677,0.000410392,0.001559564,0.001022457,0.7322287,0.2617026],"study_design_scores_gemma":[0.000195019,0.0001434102,0.009093944,0.0006460397,0.00006476287,0.0002669982,0.00003597989,0.00110706,0.0008642184,0.0008076478,0.986746,0.00002902248],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01062083,0.04512263,0.002752632,0.02696718,0.0136617,0.0005064443,0.04369525,0.004970304,0.851703],"genre_scores_gemma":[0.02055522,0.02488373,0.001405863,0.003406983,0.002732276,0.0001957493,0.0166392,0.0004466237,0.9297344],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.703878,"threshold_uncertainty_score":0.4223821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1213558788585208,"score_gpt":0.4653252968485214,"score_spread":0.3439694179900006,"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."}}