{"id":"W4293053694","doi":"10.5539/jas.v14n7p1","title":"Profit Efficiency, Weather Risk and Climate Adaptation Practices of Rice Farmers in Myanmar","year":2022,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan International Cooperation Agency","keywords":"Inefficiency; Profit (economics); Climate change; Agriculture; Food security; Agricultural economics; Profitability index; Agricultural science; Environmental science; Business; Geography; Economics; Ecology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00150893,0.00007910344,0.0001365703,0.00004244297,0.0003410706,0.00005261385,0.0003167345,0.00001809279,0.0000852604],"category_scores_gemma":[0.0003461257,0.00002620728,0.00004748122,0.0011636,0.0001082761,0.0005680591,0.0001209009,0.0001984826,8.089838e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007099766,"about_ca_system_score_gemma":0.00002642902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002889474,"about_ca_topic_score_gemma":0.00005191312,"domain_scores_codex":[0.9985563,0.0001037901,0.0003718082,0.0001618689,0.0006055842,0.0002006742],"domain_scores_gemma":[0.9982575,0.0001769097,0.001276262,0.00002525781,0.0001933129,0.00007078518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00004096584,0.0001173471,0.03431183,0.000007558744,0.000004089801,0.000001841682,0.001512479,0.000443388,0.9464954,0.0002289311,0.00004360617,0.01679257],"study_design_scores_gemma":[0.0001752802,0.0006363177,0.9719649,0.0000160722,0.00001022989,0.00003519209,0.02255552,0.0002021595,0.003690996,0.00004397974,0.0005817032,0.00008768478],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977828,0.0001533936,0.000004678443,0.001453049,0.0001368834,0.0001460228,0.000007907698,0.000004377953,0.0003109432],"genre_scores_gemma":[0.9993277,0.0001280351,0.0003908288,0.00006222784,0.00003872718,0.000004047834,0.000001098478,3.045931e-7,0.00004701374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9428044,"threshold_uncertainty_score":0.2623274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02450480231507671,"score_gpt":0.2538703645252876,"score_spread":0.2293655622102109,"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."}}