{"id":"W4379034951","doi":"10.5089/9781513587219.071","title":"South Asia's Path to Resilient Growth","year":2022,"lang":"en","type":"book","venue":"","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Harvard Kennedy School; International Labour Organization; Economic Research Institute; University of Cambridge; Harvard University; Pennsylvania State University; Johns Hopkins University; University of Pennsylvania","keywords":"Path (computing); Geography; South asia; Computer science; Ancient history; History; Computer network","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":["insufficient_payload"],"category_scores_codex":[0.0001585412,0.0003860759,0.0003701318,0.00002001436,0.0004720668,0.00008040948,0.0008322326,0.0002335396,0.01035307],"category_scores_gemma":[0.0000453119,0.0001020626,0.0002649269,0.0003117223,0.00005114865,0.00005493371,0.0005607865,0.0004503257,0.000929684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001810706,"about_ca_system_score_gemma":0.00004234065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001367761,"about_ca_topic_score_gemma":0.0002076082,"domain_scores_codex":[0.9976351,0.000063717,0.0003185507,0.0007670226,0.0007337757,0.0004818449],"domain_scores_gemma":[0.9992115,0.0001213437,0.0001422085,0.0001003157,0.00009788018,0.0003267865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000385975,0.00006469942,0.0004524885,0.00002034708,0.00002348989,0.00005431625,0.0002330542,0.00001143659,0.002063418,0.008147778,0.971156,0.01773439],"study_design_scores_gemma":[0.0000459918,0.0005230891,0.01600881,0.00003780597,0.00002229873,0.00001190686,0.0006340267,0.000001702045,0.0001079761,0.00108306,0.9809351,0.0005882391],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02810584,0.0003580655,0.000002418004,0.002357243,0.0004789366,0.0008583142,0.0002868451,0.0002851452,0.9672672],"genre_scores_gemma":[0.01802795,0.0001167211,0.00008104839,0.000835179,0.0007217561,0.00006202468,0.0003682465,0.000002199062,0.9797848],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01714615,"threshold_uncertainty_score":0.9998482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0104147027933693,"score_gpt":0.1904205169181571,"score_spread":0.1800058141247878,"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."}}