{"id":"W2049339300","doi":"10.1111/1467-9361.00194","title":"The Labor Market as a Smoothing Device: Labor Supply Responses to Crop Loss","year":2003,"lang":"en","type":"article","venue":"Review of Development Economics","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Job loss; Consumption (sociology); Shock (circulatory); Economics; Crop loss; Labour economics; Household income; Crop; Work (physics); Agriculture; Consumption smoothing; Nonfarm payrolls; Agricultural economics; Business; Unemployment; Economic growth","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":[0.0009481751,0.0001724047,0.0002901722,0.000007903775,0.0003557416,0.00006098907,0.0004285442,0.00005271366,0.0003656484],"category_scores_gemma":[0.0004935679,0.00005195823,0.00008184476,0.0003072448,0.00005320122,0.00009945507,0.00008589976,0.00008509238,0.0001281018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006777806,"about_ca_system_score_gemma":0.0001164619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002033635,"about_ca_topic_score_gemma":0.0001632993,"domain_scores_codex":[0.9986297,0.0001496403,0.0005295221,0.0002714691,0.0001146802,0.0003049526],"domain_scores_gemma":[0.9990382,0.0004102309,0.0002055552,0.00008984267,0.0001235326,0.000132659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002400159,0.0002221013,0.2193156,0.001535029,0.0001704023,0.00001767686,0.0007962259,0.00001504925,0.004533645,0.01472749,0.03270892,0.7257178],"study_design_scores_gemma":[0.00003904133,0.00003710814,0.2279427,0.0006579746,0.000006825823,0.00001102146,0.0001450571,5.285482e-7,0.002242278,0.00007221596,0.7686855,0.0001597437],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9688087,0.02295241,3.206269e-7,0.005982081,0.0001215143,0.0004360218,0.00002435616,0.00001759172,0.001657016],"genre_scores_gemma":[0.5669054,0.4125739,0.0028151,0.007560401,0.0001100421,0.0001269962,0.000027237,0.000003875888,0.009877062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7359766,"threshold_uncertainty_score":0.4003594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01119242566485761,"score_gpt":0.2392677390799774,"score_spread":0.2280753134151198,"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."}}