{"id":"W1585142659","doi":"","title":"Identifying the rural poor and their ability to invest in agriculture: compatible and conflicting implications from quantitative and qualitative data from western Kenya. Q-squared in practice: A Conference on experiences of combining qualitative and quantitative methods in poverty appraisal, Centre for International Studies, University of Toronto, May 15-16, 2004","year":2004,"lang":"en","type":"article","venue":"Data Archiving and Networked Services (DANS)","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Agriculture; Qualitative property; Economic growth; Geography; Regional science; Political science; Agricultural economics; Economics; Statistics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001479534,0.0001718604,0.0003494399,0.00002201902,0.0002165333,0.0001034768,0.0004232268,0.00004604039,0.000003694159],"category_scores_gemma":[0.0005286527,0.00007932485,0.00001074196,0.000247523,0.0002887272,0.001298656,0.0006251008,0.0001512947,5.718881e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002957695,"about_ca_system_score_gemma":0.00001304226,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07196869,"about_ca_topic_score_gemma":0.2481528,"domain_scores_codex":[0.9978781,0.000969081,0.00038782,0.0005084122,0.0001029197,0.0001537187],"domain_scores_gemma":[0.9880499,0.01118874,0.000423344,0.0001341452,0.0001514725,0.00005239758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004800299,0.0001395915,0.02496341,0.00005867881,0.0001308395,5.649777e-7,0.9530635,0.00004468085,0.01380802,0.003192272,0.00004029508,0.004078065],"study_design_scores_gemma":[0.0004272395,0.0001276524,0.2103785,0.0004107659,0.00002094178,8.191671e-7,0.7845508,0.002318045,0.00004817858,0.001458025,0.000135029,0.0001240432],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921439,0.002256644,0.000537017,0.002443696,0.00003924256,0.0004080086,0.002132326,0.00000671326,0.00003249635],"genre_scores_gemma":[0.9832921,0.001285012,0.01398719,0.0001045809,0.0000146863,0.000009451356,0.001303556,0.000001390048,0.000002041315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.185415,"threshold_uncertainty_score":0.9342111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1994779558003991,"score_gpt":0.45772408451534,"score_spread":0.2582461287149409,"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."}}