{"id":"W2603961462","doi":"10.5555/arwg.15.2.m3l32t670w516840","title":"Ex post Impact Evaluation of Chashma Right Bank Canal on Land Use in D. I. Khan District, Pakistan","year":2012,"lang":"en","type":"article","venue":"Arab world geographer","topic":"Social and Economic Development in India","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Khyber pakhtunkhwa; Geography; Suez canal; Agriculture; Productivity; Socioeconomics; Irrigation; Arid; Agricultural economics; Environmental protection; Water resource management; Economic growth; Archaeology; Ecology; Economics; Environmental science; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007586028,0.000394598,0.0003666729,0.00121925,0.001042574,0.0008493808,0.0004523376,0.0003302887,0.002421587],"category_scores_gemma":[0.001470431,0.0002029754,0.0004179986,0.001567674,0.0008422956,0.0004831658,0.0008537931,0.0003971449,0.0002294118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004405273,"about_ca_system_score_gemma":0.003603478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09468841,"about_ca_topic_score_gemma":0.1993497,"domain_scores_codex":[0.9988703,0.0003270861,0.00003706412,0.00007384716,0.0003574653,0.0003342443],"domain_scores_gemma":[0.9983029,0.0003530303,0.0003143905,0.0000605905,0.0007258836,0.0002430601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002683382,0.001945033,0.8977274,0.0004771614,0.0002316997,0.004624294,0.004694907,0.01385631,0.01281192,0.0008905445,0.002511859,0.05754565],"study_design_scores_gemma":[0.00006116579,0.003766224,0.9786001,0.00002446775,0.00008039171,0.0001841703,0.008560649,0.001446083,0.004221758,0.0001180835,0.002903825,0.00003307769],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995822,0.00004011051,0.00007980451,0.00006743723,0.00000643559,0.00009692495,0.0006388984,0.000006071267,0.003242334],"genre_scores_gemma":[0.9984189,0.00008285553,0.0001654729,0.00002009014,0.00000438325,0.00003685644,0.0003426338,0.000001403935,0.0009273625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09468841,"threshold_uncertainty_score":0.1882746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03421389319403795,"score_gpt":0.3278446123430828,"score_spread":0.2936307191490448,"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."}}