{"id":"W2108925110","doi":"10.5539/jms.v5n3p31","title":"Projection of Thailand’s Agricultural Population in 2040","year":2015,"lang":"en","type":"article","venue":"Journal of Management and Sustainability","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Population; Business; Agricultural economics; Population projection; Socioeconomics; Geography; Economic growth; Developed country; Economics; Demography","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":[0.0002626182,0.0002450436,0.00005969777,0.001041589,0.0002294842,0.000472639,0.0001790672,0.0001148856,0.002286864],"category_scores_gemma":[0.0003892786,0.0001024423,0.0003428102,0.001058862,0.0001341094,0.0004173611,0.0005528273,0.000227354,0.0005201971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006374928,"about_ca_system_score_gemma":0.001112816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03962517,"about_ca_topic_score_gemma":0.03406018,"domain_scores_codex":[0.9999088,0.00001958169,0.000007328164,0.00001348897,0.00002301301,0.00002779237],"domain_scores_gemma":[0.9997911,0.00001672846,0.00003681464,0.000007618272,0.00009413607,0.0000535605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002296535,0.00005613224,0.9132286,0.0002226326,0.0001337706,0.001176323,0.001616815,0.01419261,0.002145275,0.001971737,0.005632373,0.05939411],"study_design_scores_gemma":[0.00001554456,0.0001748726,0.9398811,0.0001113486,0.0000852766,0.001087444,0.007036088,0.02641515,0.001200687,0.001304851,0.0226358,0.00005182018],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796282,0.0003508737,0.002591127,0.0002763074,0.00002086286,0.00002737155,0.008578863,0.00006830809,0.00845807],"genre_scores_gemma":[0.9901867,0.0006272182,0.00134707,0.00003246976,0.000005897882,0.00004534217,0.005111418,0.000005783541,0.002638104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03962517,"threshold_uncertainty_score":0.07878906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01193193446474696,"score_gpt":0.2312916265208339,"score_spread":0.219359692056087,"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."}}