{"id":"W4400637460","doi":"10.1787/agr_outlook-2017-graph120-en","title":"Area harvested share of cotton in major countries","year":2017,"lang":"en","type":"other","venue":"OECD agricultural outlook .../OECD-FAO agricultural outlook","topic":"Agriculture, Land Use, Rural Development","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada; Chinese Academy of Agricultural Sciences; Economic Research Service; European Commission; U.S. Environmental Protection Agency","keywords":"Agricultural economics; Business; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0001658043,0.0003736426,0.0001283477,0.001422098,0.000416243,0.0008768819,0.0003253056,0.0001687583,0.04223268],"category_scores_gemma":[0.0004206616,0.0001116904,0.0002576834,0.003552035,0.0001769169,0.0003986719,0.0005655998,0.0003013783,0.01430638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006346125,"about_ca_system_score_gemma":0.0008967402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01279825,"about_ca_topic_score_gemma":0.01633134,"domain_scores_codex":[0.9998017,0.00002172582,0.00001042233,0.00004845017,0.00006019741,0.00005761089],"domain_scores_gemma":[0.999669,0.00003030341,0.00009566546,0.00002283324,0.00007350261,0.0001086692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006237763,0.0001982119,0.3191469,0.001459189,0.0002830743,0.003226294,0.00133382,0.001124687,0.01194915,0.0107409,0.3134478,0.3364662],"study_design_scores_gemma":[0.00001710225,0.00007429784,0.5005339,0.0001425414,0.00001916408,0.0009570271,0.001543918,0.0003473707,0.001038758,0.0004465108,0.4948681,0.0000113305],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.550752,0.00976591,0.0007142313,0.002263043,0.0006580705,0.0001356289,0.09531302,0.0007710477,0.3396271],"genre_scores_gemma":[0.6821446,0.01242007,0.0008597888,0.0009080785,0.0002346338,0.000213588,0.04476643,0.000224113,0.2582288],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04223268,"threshold_uncertainty_score":0.1412823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01369217901094692,"score_gpt":0.208670604644036,"score_spread":0.1949784256330891,"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."}}