{"id":"W2769534933","doi":"10.1353/jda.2019.0035","title":"Subjective Income Expectations And Risks In Rural India","year":2019,"lang":"en","type":"article","venue":"The Journal of developing areas","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"United Nations University World Institute for Development Economics Research; International Growth Centre","keywords":"Economics; Poverty; Household income; Total personal income; Consumption (sociology); Net national income; Demographic economics; Income in kind; Income distribution; Distribution (mathematics); Survey data collection; Labour economics; Gross income; Public economics; Economic growth; Geography; Inequality","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":[0.0002136039,0.00008472405,0.0001397427,0.0000202284,0.0001171477,0.0000314067,0.0001998303,0.00004664495,0.00001820183],"category_scores_gemma":[0.00002805332,0.00002259479,0.0000363773,0.0003320224,0.00004554988,0.0001480087,0.00004977076,0.0001751958,0.00001515526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003948822,"about_ca_system_score_gemma":0.00002129361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002273266,"about_ca_topic_score_gemma":0.0005857293,"domain_scores_codex":[0.9992987,0.00008368668,0.0002262539,0.00007260559,0.0001686777,0.0001500758],"domain_scores_gemma":[0.9994147,0.0002507931,0.0001720615,0.0000223147,0.00009316189,0.00004699724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000255735,0.00001468969,0.9851605,0.000002600366,0.000009408307,0.000005204163,0.001377016,0.00001148079,0.003088188,0.0001395064,0.00001311241,0.01015268],"study_design_scores_gemma":[0.0001246229,0.0001083746,0.9891959,0.00008069858,0.000004414944,0.0001177011,0.009345106,0.00001134572,0.0002081668,0.0006126547,0.0001055975,0.0000854196],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985718,0.0003934967,0.000004186396,0.0006057505,0.0001108654,0.00009918249,0.000001515175,0.000005766097,0.0002074795],"genre_scores_gemma":[0.9995997,0.0001035614,0.00009594842,0.00005228618,0.00007229886,0.000001351911,0.000001322462,4.48152e-7,0.00007308898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01006726,"threshold_uncertainty_score":0.09213887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01349433908246883,"score_gpt":0.2399779817556519,"score_spread":0.2264836426731831,"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."}}