{"id":"W3214751597","doi":"10.3968/12300","title":"Post-harvest Losses for Urban Fresh Fruits and Vegetables Along the Continuum of Supply Chain Functions: Evidence from Dar es Salaam City - Tanzania","year":2021,"lang":"en","type":"article","venue":"Canadian social science","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supply chain; Business; Nonprobability sampling; Tanzania; Dar es salaam; Context (archaeology); Agriculture; Focus group; Food security; Data collection; Marketing; Agricultural economics; Value chain; Agricultural science; Economics; Geography; Socioeconomics; Population; Sociology","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":[0.001318079,0.0002528139,0.0002036391,0.001146179,0.001257935,0.001169928,0.000578111,0.0003779918,0.002865259],"category_scores_gemma":[0.003177056,0.0003151901,0.0002369619,0.002025507,0.00148034,0.001152299,0.001325605,0.0006531572,0.0002431797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002650574,"about_ca_system_score_gemma":0.00276869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05840535,"about_ca_topic_score_gemma":0.1673085,"domain_scores_codex":[0.9993863,0.0002189538,0.00003914809,0.00006053403,0.0001165067,0.0001784588],"domain_scores_gemma":[0.9970873,0.001132997,0.00106314,0.0001051542,0.0004430581,0.000168433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004959056,0.000374432,0.8044061,0.003480187,0.0001230113,0.007161946,0.1095732,0.0004369256,0.003381607,0.002482547,0.002732472,0.06535166],"study_design_scores_gemma":[0.00001689719,0.0002963352,0.8670928,0.001127795,0.00009163208,0.0005635335,0.122436,0.0002587422,0.0004887708,0.0003563977,0.007249133,0.00002185955],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968958,0.0009620463,0.00007803321,0.0004596749,0.000005088055,0.00002550574,0.0001616742,0.000001902315,0.001410247],"genre_scores_gemma":[0.9978669,0.001110799,0.0001553678,0.0001558031,0.000003876758,0.00002323452,0.0001220184,0.000002434459,0.000559422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05840535,"threshold_uncertainty_score":0.1161308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02055318950931714,"score_gpt":0.2322526026973092,"score_spread":0.2116994131879921,"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."}}