{"id":"W4404653878","doi":"10.1016/j.wdp.2024.100643","title":"Beer, barley, livestock, milk: Who adopts agricultural innovations in rural Rajasthan?","year":2024,"lang":"en","type":"article","venue":"World Development Perspectives","topic":"Agricultural Economics and Practices","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Consortium of International Agricultural Research Centers; Bill and Melinda Gates Foundation","keywords":"Livestock; Agriculture; Agricultural economics; Business; Agricultural science; Economics; Geography; Environmental science; Forestry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002672607,0.0002882098,0.0002642471,0.0001060606,0.0002968117,0.0004320531,0.0002964307,0.00008049983,0.0009478251],"category_scores_gemma":[0.00004436007,0.0001111682,0.00009633885,0.001628521,0.00006398953,0.0008663267,0.0001290236,0.0003350184,0.0002095715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002808497,"about_ca_system_score_gemma":0.00004406205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002288818,"about_ca_topic_score_gemma":0.007017483,"domain_scores_codex":[0.9983773,0.0000628304,0.0004273924,0.0005065451,0.0002036101,0.0004223016],"domain_scores_gemma":[0.9993691,0.000269332,0.00009244319,0.00005180167,0.0001102196,0.0001071013],"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":[0.0002214571,0.001279387,0.08757851,0.0001340102,0.0007176569,0.0001653666,0.05860069,0.0001853711,0.1124635,0.1996577,0.05012142,0.4888749],"study_design_scores_gemma":[0.0001162624,0.00005124463,0.8456699,0.0001336841,0.000008594035,0.00001629369,0.01646421,0.00004969343,0.0005897157,0.0003829972,0.1360609,0.0004564577],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735934,0.003113777,0.00000318601,0.007066499,0.0002927849,0.0003283459,0.00001733421,0.0001660214,0.01541867],"genre_scores_gemma":[0.9890147,0.0002167826,0.0006250241,0.0001405772,0.0003640785,0.0000816363,0.0001070434,0.000002436622,0.00944765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7580914,"threshold_uncertainty_score":0.9999654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01721395608501134,"score_gpt":0.2349932297258314,"score_spread":0.2177792736408201,"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."}}