{"id":"W2734979819","doi":"10.6000/1927-5951.2017.07.03.7","title":"Food Extrusion Technology: Initiatives to Address Food and Nutrition Insecurity in South Africa","year":2017,"lang":"en","type":"article","venue":"Journal of Pharmacy and Nutrition Sciences","topic":"Food composition and properties","field":"Nursing","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Department of Higher Education and Training; Vaal University of Technology; National Research Foundation","keywords":"Extrusion; Livelihood; Product (mathematics); Food processing; Business; Sorghum; Biotechnology; Extrusion cooking; Agriculture; Engineering; Agricultural science; Environmental science; Food science; Geography; Agronomy; Mathematics; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002010274,0.0005016078,0.0001874298,0.0009345212,0.001818603,0.001791376,0.001067449,0.001267688,0.007933279],"category_scores_gemma":[0.001905086,0.0001887454,0.0003581636,0.001078346,0.0007218304,0.00130117,0.003439786,0.001509465,0.000530478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001823042,"about_ca_system_score_gemma":0.01618422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00667272,"about_ca_topic_score_gemma":0.007474614,"domain_scores_codex":[0.9994011,0.0001594477,0.00004093702,0.00005489881,0.0001113254,0.0002322737],"domain_scores_gemma":[0.9985242,0.0002056681,0.0002647447,0.0000520042,0.0002096319,0.0007437323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004914349,0.002466743,0.04327834,0.008310843,0.00008470436,0.009013909,0.02106594,0.0007735023,0.06654374,0.02969755,0.02457741,0.7936959],"study_design_scores_gemma":[0.0002135441,0.001945612,0.157688,0.003614201,0.000121646,0.004295391,0.04544813,0.0008349754,0.009513678,0.005054802,0.7711933,0.00007677046],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7145446,0.0457585,0.007845139,0.1493357,0.001240145,0.001786566,0.0005391428,0.0003235918,0.0786267],"genre_scores_gemma":[0.8572258,0.05401557,0.03382024,0.0112949,0.0002951713,0.001109837,0.00060496,0.00006282941,0.04157081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007933279,"threshold_uncertainty_score":0.0265395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09674671699976714,"score_gpt":0.3600405325424563,"score_spread":0.2632938155426892,"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."}}