{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005358079,0.0001666558,0.0003073381,0.0008558285,0.0004532596,0.000748059,0.0002910641,0.0001939957,0.003971748],"category_scores_gemma":[0.001549394,0.0001692283,0.00008904848,0.001540873,0.00069378,0.0003534366,0.0005140278,0.0002644559,0.0001886386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001715908,"about_ca_system_score_gemma":0.000572846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1081122,"about_ca_topic_score_gemma":0.1483106,"domain_scores_codex":[0.9997813,0.00007052892,0.000007726309,0.00003873189,0.00001841315,0.00008329888],"domain_scores_gemma":[0.99923,0.0002588056,0.0002742307,0.00001977537,0.00005535359,0.0001617424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001917315,0.0001558948,0.966051,0.00007723433,0.00006518405,0.0008683593,0.004995714,0.002944489,0.001073166,0.005608368,0.001203256,0.01676562],"study_design_scores_gemma":[0.00001145584,0.00003386517,0.9945768,0.00003004938,0.000007435787,0.00007949414,0.002414186,0.0009379492,0.00007020815,0.0007662753,0.00106844,0.000003879768],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984175,0.0003452197,0.00007113855,0.0001369488,0.000003234372,0.000004781984,0.0001056516,0.000001702243,0.0009138078],"genre_scores_gemma":[0.9987246,0.0002234458,0.00006283115,0.00001284116,0.000003774765,0.000004283831,0.00007676218,0.000001387093,0.0008901283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1081122,"threshold_uncertainty_score":0.2149659,"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."}}