{"id":"W3108988919","doi":"10.3390/agriculture10120586","title":"Factors Determining Farmers’ Access to and Sources of Credit: Evidence from the Rain-Fed Zone of Pakistan","year":2020,"lang":"en","type":"article","venue":"Agriculture","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Leibniz-Gemeinschaft; Higher Education Commision, Pakistan","keywords":"Agriculture; Business; Khyber pakhtunkhwa; Agricultural economics; Asset (computer security); Finance; Economics; Socioeconomics; Geography","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":[0.0001192089,0.0001308576,0.0003698829,0.00002616249,0.0001008287,0.00004540975,0.0003888744,0.0000924288,0.00005537346],"category_scores_gemma":[0.0002089116,0.00008385238,0.00007670149,0.0003274771,0.00005202081,0.0002147658,0.0002634853,0.0001120421,0.000008017068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001335511,"about_ca_system_score_gemma":0.000009787479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001009505,"about_ca_topic_score_gemma":0.0000991769,"domain_scores_codex":[0.9990985,0.00001174676,0.0004215623,0.0002826658,0.0000447913,0.0001407541],"domain_scores_gemma":[0.9992366,0.0001406323,0.0003690771,0.0001450242,0.00004546551,0.0000632275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007685063,0.00003561755,0.9264361,0.00007508166,0.00004826619,0.000003347754,0.03478019,0.00003163044,0.02430825,0.001954049,0.009317905,0.002932751],"study_design_scores_gemma":[0.0001990581,0.0001842581,0.9591681,0.0001550918,0.00001448778,4.605081e-7,0.002365669,0.00002656766,0.0156686,0.0003649242,0.02164476,0.0002080609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922829,0.0038535,0.001072203,0.002028562,0.000106919,0.0001828134,0.0002524883,0.00001009912,0.0002105407],"genre_scores_gemma":[0.9986579,0.0004251247,0.0001714297,0.0005380076,0.0001435135,0.000004732972,0.00001025326,0.000007124263,0.00004185006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.032732,"threshold_uncertainty_score":0.3419401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07199496571050383,"score_gpt":0.262285279653132,"score_spread":0.1902903139426281,"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."}}