{"id":"W2383594449","doi":"","title":"A Study on Development Status of GM Agricultural Products in China","year":2011,"lang":"en","type":"article","venue":"Ecological Economy","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Agriculture; Agricultural economics; Crop; Geography; Business; Agricultural science; Biology; Economics; Forestry","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001950521,0.00009859661,0.0002771983,0.00006547281,0.00002257831,0.000003034449,0.00006509137,0.00004761762,0.001184299],"category_scores_gemma":[0.0005217381,0.00005397794,0.00002633016,0.0001164125,0.0000477715,0.00003230684,0.00005143229,0.0001645491,0.0001844943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001647588,"about_ca_system_score_gemma":0.0001902527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003565783,"about_ca_topic_score_gemma":0.00004585282,"domain_scores_codex":[0.9989522,0.00004943412,0.0002674479,0.0002445117,0.0001191852,0.0003671914],"domain_scores_gemma":[0.9994722,0.00004982549,0.00004722473,0.0001244595,0.00003410848,0.0002721867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004713025,0.01107082,0.97851,0.0000342906,0.0001202084,0.0004161426,0.002020072,2.456374e-7,0.00003068826,0.0003758909,0.0002344378,0.006715849],"study_design_scores_gemma":[0.002132469,0.004204728,0.9909145,0.00001657365,0.00000754026,0.0000036681,0.0004372022,6.630897e-7,0.001514877,0.0001023402,0.0006101685,0.00005526546],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9146973,0.00001941771,8.258794e-7,0.000132625,0.00002831523,0.0008835805,8.326577e-7,0.00001245936,0.08422467],"genre_scores_gemma":[0.9987316,0.000005822684,0.0006247171,0.00007311216,0.00002011894,0.000149269,0.000009824134,0.000003256024,0.0003823218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08403428,"threshold_uncertainty_score":0.9997287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09763951596547012,"score_gpt":0.3158097841709316,"score_spread":0.2181702682054615,"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."}}