{"id":"W2797902039","doi":"","title":"Structural Changes in India's Trade of Pulses: A Markov Approach","year":2017,"lang":"en","type":"article","venue":"International journal of education and management studies","topic":"Agricultural Economics and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Production (economics); Markov chain; Productivity; Economics; International economics; International trade; Agricultural economics; Development economics; Statistics; Economic growth; Mathematics; Macroeconomics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008099006,0.0001935224,0.0002684611,0.0016672,0.000505189,0.001283486,0.0005257264,0.0004202682,0.005346283],"category_scores_gemma":[0.001852239,0.000302717,0.001144818,0.001245141,0.0005095748,0.0008780654,0.0006141075,0.0007092617,0.0003063362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001702138,"about_ca_system_score_gemma":0.001337892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03427131,"about_ca_topic_score_gemma":0.03589379,"domain_scores_codex":[0.9996873,0.00009601774,0.00001654911,0.00008388302,0.00003945069,0.00007674302],"domain_scores_gemma":[0.9989877,0.0006315126,0.0001777355,0.00004881071,0.00009436366,0.00005997381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002583213,0.0001427444,0.2765057,0.000151604,0.0002762564,0.0009564376,0.001678362,0.6005816,0.002438369,0.08437338,0.001831228,0.03080594],"study_design_scores_gemma":[0.00001079118,0.00008777557,0.0657609,0.00003725531,0.00007758669,0.0001908418,0.0009704096,0.9094079,0.0004516092,0.02103118,0.001932316,0.00004138734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9467795,0.0002344616,0.04404236,0.0006967725,0.00001767656,0.00007443201,0.001372374,0.00008180201,0.006700546],"genre_scores_gemma":[0.9922101,0.0002024276,0.004684096,0.00002149014,0.00000907633,0.00004739059,0.0006793845,0.00001077621,0.002135161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03427131,"threshold_uncertainty_score":0.06814367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04633882242094101,"score_gpt":0.3210644860923038,"score_spread":0.2747256636713628,"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."}}