{"id":"W4234129412","doi":"10.1142/9789812771957_0106","title":"ADAPTING DRYING TECHNOLOGIES FOR AGRI-FOOD MARKET DEVELOPMENT IN INDIA","year":2007,"lang":"en","type":"article","venue":"The Proceedings of the 5th Asia-Pacific Drying Conference","topic":"Agricultural Economics and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Business; Agricultural economics; Economics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001843301,0.0002066537,0.0002438153,0.00002962877,0.0004767564,0.0001711217,0.001043746,0.0001355193,0.00002476432],"category_scores_gemma":[0.0004057972,0.00006560481,0.00008906692,0.0004399862,0.0001373162,0.0002953077,0.0003068198,0.0002985477,0.000003013856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000589064,"about_ca_system_score_gemma":0.00002360073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002830035,"about_ca_topic_score_gemma":0.0001211208,"domain_scores_codex":[0.9985412,0.00001152056,0.0004714272,0.0003214464,0.0001851697,0.0004692821],"domain_scores_gemma":[0.9987239,0.0004375739,0.0005606656,0.00005852381,0.0001805191,0.00003877882],"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":[0.0002445383,0.0001299775,0.03293793,0.0001311424,0.00008292541,5.977498e-7,0.003878627,0.000003546945,0.5899622,0.02697866,0.0008778821,0.344772],"study_design_scores_gemma":[0.0005349082,0.0003728525,0.4573068,0.00067759,0.00005389026,0.000029733,0.11089,0.0002934977,0.3635096,0.01035356,0.05504257,0.0009349441],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9697701,0.0001248935,0.000006836944,0.003341393,0.0001292308,0.0006148923,0.000009988678,0.00008275384,0.02591985],"genre_scores_gemma":[0.9985996,0.0000429243,0.0007612971,0.00003206709,0.00006303885,0.00004511902,0.000002711953,0.000002009702,0.0004511618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4243689,"threshold_uncertainty_score":0.3666873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03289933024038456,"score_gpt":0.2277146562903745,"score_spread":0.19481532604999,"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."}}