{"id":"W3089197091","doi":"","title":"Post-harvest and value chain management of large cardamom in hills and uplands","year":2018,"lang":"en","type":"article","venue":"International Journal of Chemical Studies","topic":"Indigenous Knowledge Systems and Agriculture","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Postharvest; Livelihood; Business; Curing (chemistry); West bengal; Value chain; Toxicology; Geography; Agriculture; Horticulture; Agroforestry; Agricultural science; Agricultural economics; Supply chain; Biology; Socioeconomics; Economics; Marketing; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002216362,0.00007166905,0.0001805987,0.00001448787,0.00003312841,0.00001628642,0.000123668,0.00003615585,0.00001053629],"category_scores_gemma":[0.00002826764,0.00002470696,0.00003975501,0.00005668763,0.00007153136,0.00006020576,0.0001055864,0.00006507869,8.698074e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002571557,"about_ca_system_score_gemma":0.000002414169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004420902,"about_ca_topic_score_gemma":0.0001355643,"domain_scores_codex":[0.9993443,0.00001801457,0.0002599632,0.00008400155,0.0001927565,0.0001009529],"domain_scores_gemma":[0.999377,0.00006113004,0.0001406552,0.00001114612,0.0003763187,0.00003374202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004713097,0.0006900821,0.1164188,0.0001699968,0.001842318,0.000234822,0.01017847,9.803041e-7,0.7897696,0.007779527,0.002050129,0.07039388],"study_design_scores_gemma":[0.002694659,0.001328466,0.828738,0.001781344,0.0001066466,0.0005157352,0.01715116,0.00002218761,0.1086886,0.002582188,0.035869,0.000522016],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961613,0.002194754,5.083036e-7,0.0009628382,0.0001874045,0.00004828736,0.00003220348,0.000002170567,0.000410525],"genre_scores_gemma":[0.9988016,0.0005283215,0.00004949309,0.00006130933,0.0004663243,0.000001100309,0.000003801039,3.991923e-7,0.00008763842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7123191,"threshold_uncertainty_score":0.1007521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01006573340688158,"score_gpt":0.2540873677255298,"score_spread":0.2440216343186482,"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."}}