{"id":"W3199780611","doi":"","title":"IMPLICATIONS OF NUTRITIONAL INSECURITY IN PAKISTAN","year":2019,"lang":"en","type":"article","venue":"Advanced Food and Nutritional Sciences","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Food security; Malnutrition; Economic growth; Safeguarding; Millennium Development Goals; Development economics; Population; Developing country; Food insecurity; International community; Business; Environmental health; Political science; Geography; Medicine; Economics; Agriculture","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":[0.0004066102,0.00008208019,0.000181417,0.0001813684,0.0005603021,0.000005206879,0.0001376895,0.00009231979,0.0003839008],"category_scores_gemma":[0.00003861167,0.00007980926,0.00003370394,0.0005173396,0.0002520113,0.0003161096,0.00005643822,0.0002353972,0.00002608083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005287843,"about_ca_system_score_gemma":0.000183454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007547826,"about_ca_topic_score_gemma":0.0005698038,"domain_scores_codex":[0.9986737,0.0001010437,0.0004400735,0.0002630556,0.0002318926,0.000290186],"domain_scores_gemma":[0.9990156,0.0005278102,0.0001440206,0.0001007169,0.0001258595,0.00008600568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004695879,0.0001533295,0.255825,0.0002290908,0.000003274974,1.523722e-7,0.0004742823,0.00002358705,0.0005553659,0.7422175,0.0001336776,0.000337834],"study_design_scores_gemma":[0.001371609,0.0003624857,0.6115206,0.000295022,0.000002771638,0.000001617019,0.001945471,0.00004173036,0.00004382948,0.3771886,0.007113858,0.0001124429],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814946,0.001066705,0.00002285997,0.004853783,0.0001665829,0.0006085812,0.0004269471,0.00002169112,0.01133824],"genre_scores_gemma":[0.9961586,0.0003805333,0.002742696,0.0004881567,0.00004756631,0.00009737809,0.00005209013,0.000003566219,0.00002940276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3650289,"threshold_uncertainty_score":0.4309447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1070452890237383,"score_gpt":0.4691750911561102,"score_spread":0.3621298021323718,"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."}}