{"id":"W7026594842","doi":"","title":"ANALYSIS OF GLOBAL TRENDS IN GM MAIZE APPROVALS IN THE PERIOD 2014-2018","year":2022,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Descriptive statistics; Developing country; Statistical analysis; Developed country","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":[0.00116914,0.0002101366,0.0002175726,0.002778498,0.000126471,0.0007630854,0.0002090415,0.0001944331,0.001507955],"category_scores_gemma":[0.003440261,0.0001161016,0.0003838434,0.005126586,0.000216188,0.0007557897,0.0004516405,0.0004171139,0.0003867211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000658071,"about_ca_system_score_gemma":0.0005569811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006276058,"about_ca_topic_score_gemma":0.006176398,"domain_scores_codex":[0.9991952,0.0001147844,0.0001555546,0.0001784486,0.0002214024,0.0001346508],"domain_scores_gemma":[0.9945011,0.0006719786,0.003307246,0.0001225543,0.001207401,0.0001897531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001912833,0.000027365,0.9645885,0.0003584993,0.00009591048,0.0002079332,0.0006713422,0.0005544606,0.0008222382,0.0007374999,0.004104102,0.0276409],"study_design_scores_gemma":[0.000001900751,0.00004237267,0.9879483,0.00004522681,0.00002424689,0.0002072125,0.0006727407,0.0002750919,0.0003715632,0.00004346165,0.01036076,0.000007075858],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9589993,0.003108857,0.0006921494,0.0006596204,0.00005087997,0.00003100197,0.02700893,0.00009357036,0.009355796],"genre_scores_gemma":[0.9781556,0.002666811,0.0007870286,0.0001275215,0.00005319447,0.00004303902,0.01643875,0.00003568884,0.001692582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006276058,"threshold_uncertainty_score":0.01247907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1923323206558099,"score_gpt":0.5390205463001949,"score_spread":0.346688225644385,"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."}}