{"id":"W3125296362","doi":"","title":"Rural Labor Markets, Household Composition, and Rainfall in Cote D'Ivoire","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Land Rights and Reforms","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Cote d ivoire; Economics; Composition (language); Labour economics; Labor demand; Agricultural economics; Demographic 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":[0.000418485,0.0001028142,0.0001245592,0.00001224899,0.0002665526,0.00006435021,0.0001248547,0.00007289006,0.0002238],"category_scores_gemma":[0.000001574761,0.00002065616,0.00004639414,0.0001370478,0.00004492694,0.0001404611,0.00001155599,0.0005927986,0.000008350348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001004032,"about_ca_system_score_gemma":0.00005361176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002547282,"about_ca_topic_score_gemma":0.003148267,"domain_scores_codex":[0.9986021,0.00004786779,0.0001690338,0.0001086951,0.0001186316,0.0009537078],"domain_scores_gemma":[0.9998241,0.00002156907,0.0000409803,0.00002270309,0.00001580429,0.00007485466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003527618,0.0002159761,0.03193305,0.000005356458,0.00006907429,0.00002876587,0.0001957396,0.00001536967,0.01015875,0.009976393,0.0003661146,0.9466826],"study_design_scores_gemma":[0.001909748,0.0008260791,0.7019253,0.0001062488,0.00002551394,0.002049538,0.001270542,0.00007892519,0.0001782412,0.1569632,0.1340524,0.0006142657],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935623,0.001190994,7.533235e-7,0.004536902,0.0000410776,0.00006676758,0.000009189301,0.00001920904,0.0005728559],"genre_scores_gemma":[0.9783326,0.01667345,0.000007183251,0.0002346433,0.0002673403,0.000001303423,0.00001240531,0.000001035016,0.004470002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9460684,"threshold_uncertainty_score":0.2575448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004420324939049263,"score_gpt":0.1772776344290407,"score_spread":0.1728573094899915,"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."}}