{"id":"W1524104636","doi":"","title":"Comparative Economics Of Users and Nonusers Of Dharabi Dam Pakistan","year":2009,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Agricultural Economics and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Productivity; Cropping; Agriculture; Food security; Irrigation; Agricultural economics; Distribution (mathematics); Agricultural productivity; Poverty; Marginal product; Arid; Business; Economics; Water resource management; Geography; Production (economics); Environmental science; Economic growth; Mathematics; Agronomy","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":[0.0002841531,0.000153776,0.0001546448,0.001056678,0.0009272197,0.00101578,0.0002715748,0.0002602867,0.01398985],"category_scores_gemma":[0.001835624,0.0001665282,0.0002209636,0.001850998,0.0006038409,0.000851973,0.0006091409,0.0003090005,0.001218299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007563535,"about_ca_system_score_gemma":0.0005571056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02921163,"about_ca_topic_score_gemma":0.04751825,"domain_scores_codex":[0.9997407,0.0000820038,0.00001198783,0.00002595172,0.00004430094,0.00009503858],"domain_scores_gemma":[0.9980386,0.0007980645,0.0004823776,0.00006571176,0.000187129,0.0004281783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004158851,0.0002196913,0.9709628,0.00006364741,0.00004935732,0.001068783,0.006502629,0.0002656725,0.0005535721,0.002572628,0.001866833,0.01545862],"study_design_scores_gemma":[0.00001892799,0.0002900931,0.9826785,0.00002280453,0.0000242138,0.0005037643,0.01270802,0.0004820939,0.0001085498,0.0002544021,0.002897226,0.00001137511],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958313,0.00008166484,0.00003637265,0.0001964147,0.000002688088,0.000009139562,0.0006994947,0.000001938351,0.003140921],"genre_scores_gemma":[0.9985732,0.0001660867,0.00001587775,0.00003443254,0.000004172136,0.000005263703,0.0001848014,0.000001406925,0.001014664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02921163,"threshold_uncertainty_score":0.05808324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02306241450304324,"score_gpt":0.2169775080985872,"score_spread":0.193915093595544,"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."}}