{"id":"W4383570577","doi":"10.21642/gtap.wp83","title":"Impacts of Possible Chinese Protection on US Soybeans","year":2018,"lang":"en","type":"report","venue":"GTAP working paper series","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; International trade; Tonne; Agricultural economics; Business; Geography; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.000308097,0.0002854581,0.0003342044,0.00002654408,0.0002347669,0.00008908693,0.0002041556,0.0003281645,0.0004341037],"category_scores_gemma":[0.0001672133,0.0001053226,0.0001677882,0.0004168364,0.00009115705,0.00008000063,0.00006638418,0.0002063368,0.00002475188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006356234,"about_ca_system_score_gemma":0.00006000734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007621904,"about_ca_topic_score_gemma":0.003180715,"domain_scores_codex":[0.9983705,0.00005101346,0.0003589699,0.0003721292,0.0005777035,0.0002697001],"domain_scores_gemma":[0.9990953,0.00004357188,0.0004029855,0.0001262782,0.0002683474,0.00006349431],"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":[0.0004951231,0.0003832235,0.2275966,0.0003199662,0.0002784027,0.00001240114,0.0009035816,0.00001642859,0.4899398,0.0001037064,0.01126884,0.2686819],"study_design_scores_gemma":[0.00007602049,0.000847444,0.7869976,0.0005296977,0.0000259388,0.00001668208,0.0001012906,0.000001536582,0.00555267,0.0004917795,0.2050292,0.0003301355],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9701646,0.0004035651,5.747764e-7,0.0002910907,0.001096684,0.000368709,0.00003616465,0.00008015319,0.02755844],"genre_scores_gemma":[0.9941521,0.0005454997,0.00004709026,0.00006829778,0.002022906,0.00003644939,0.0001674748,0.000004682084,0.002955536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.559401,"threshold_uncertainty_score":0.4753132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03713979318046227,"score_gpt":0.2531512919063352,"score_spread":0.2160114987258729,"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."}}