{"id":"W4308722496","doi":"10.3389/fsufs.2022.990528","title":"Understanding barriers impeding the deployment of solar-powered cold storage technologies for post-harvest tomato losses reduction: Insights from small-scale farmers in Tanzania","year":2022,"lang":"en","type":"article","venue":"Frontiers in Sustainable Food Systems","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Queen's University","keywords":"Tanzania; Cold storage; Software deployment; Business; Food security; Livelihood; Agricultural science; Scale (ratio); Agricultural economics; Marketing; Environmental economics; Agriculture; Engineering; Economics; Geography; Environmental planning; Environmental science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008782553,0.0002633106,0.0005265591,0.0001764644,0.00083198,0.0001367174,0.0005974298,0.0001657404,0.00001271724],"category_scores_gemma":[0.0002313978,0.0001370981,0.0001531377,0.001412334,0.0002495154,0.0002729491,0.0002728307,0.0003478497,1.085499e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002220646,"about_ca_system_score_gemma":0.0001575654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002308222,"about_ca_topic_score_gemma":0.0005397287,"domain_scores_codex":[0.9972987,0.0004236436,0.0006689336,0.0005729295,0.0003792848,0.0006564917],"domain_scores_gemma":[0.9989972,0.0001993908,0.0003152197,0.0002089003,0.0001920782,0.00008725908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.01322028,0.003385669,0.2659064,0.007023739,0.003008411,0.0005934909,0.1646493,0.1561233,0.1922097,0.1298829,0.0503461,0.01365059],"study_design_scores_gemma":[0.0005374773,0.000932681,0.0006151721,0.00003505614,0.00002167268,0.000009305874,0.9867268,0.0008133733,0.001024416,0.002475378,0.006540731,0.0002679805],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905266,0.003435455,0.0004917094,0.001261882,0.001470622,0.002471741,0.0001289525,0.0001378347,0.00007519947],"genre_scores_gemma":[0.9985959,0.00003641934,0.00007904655,0.00001619121,0.00007083857,0.0007298679,0.00003512233,0.000006591042,0.0004300067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8220775,"threshold_uncertainty_score":0.6399001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02386654906277131,"score_gpt":0.2097871338959497,"score_spread":0.1859205848331784,"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."}}