{"id":"W7095083602","doi":"","title":"The Effect of FDI on Agriculture and Food Trade: An Empirical Analysis Prepared by","year":2004,"lang":"en","type":"article","venue":"","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Foreign direct investment; Empirical research; Food security; Government (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001841218,0.0004530196,0.0006423793,0.001755493,0.0006045362,0.001794651,0.0008616295,0.001527029,0.01633694],"category_scores_gemma":[0.008457639,0.0003974372,0.001785771,0.002576036,0.001204084,0.001498083,0.001251773,0.002844997,0.002680306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002088033,"about_ca_system_score_gemma":0.001570742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07407988,"about_ca_topic_score_gemma":0.07584617,"domain_scores_codex":[0.9985949,0.0004923285,0.00008682862,0.0001965466,0.0001820779,0.0004472125],"domain_scores_gemma":[0.9714937,0.02094676,0.004080679,0.0005160417,0.001155647,0.001807071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006024024,0.0004188168,0.9671321,0.0001266514,0.0006135022,0.0009743245,0.0004568802,0.01012427,0.0003055139,0.003208263,0.006256492,0.009780737],"study_design_scores_gemma":[0.00009295882,0.0004895286,0.9784908,0.0001060997,0.0005296353,0.0005129436,0.002423474,0.01063349,0.0004234721,0.001157292,0.005102844,0.00003736484],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833558,0.001340114,0.0004412106,0.001592981,0.00004185671,0.00003054555,0.004375082,0.0000378273,0.008784582],"genre_scores_gemma":[0.985589,0.0009616946,0.000136391,0.0001305758,0.00005709467,0.00002383083,0.003172938,0.00001661903,0.009911841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07407988,"threshold_uncertainty_score":0.1472974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00880802307252556,"score_gpt":0.2835364192676192,"score_spread":0.2747283961950936,"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."}}