{"id":"W2348981140","doi":"","title":"Analysis on Problems and Countermeasures of Processing Tomato Seed Industry in Xinjiang","year":2011,"lang":"en","type":"article","venue":"Seed","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Agricultural engineering; Business; Horticulture; Engineering; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013238,0.00004408333,0.00007246281,0.00008099714,0.00003043638,0.000007135952,0.00005329453,0.00006500782,0.0001335819],"category_scores_gemma":[0.00001621608,0.00003413004,0.00001243769,0.0006114604,0.0000621244,0.0001295302,0.0000191254,0.0001064356,0.000007395261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003818558,"about_ca_system_score_gemma":0.00001366838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005461811,"about_ca_topic_score_gemma":0.0002253275,"domain_scores_codex":[0.9995669,0.000006340435,0.0001287388,0.000101403,0.0001203507,0.00007629504],"domain_scores_gemma":[0.9998348,0.000005354242,0.00005819749,0.0000688674,0.00001055861,0.00002221878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003320864,0.0000608147,0.9958681,0.000007176033,0.000008761286,1.548246e-7,0.001432697,0.0001297891,0.001998701,0.00007203391,0.000005353602,0.0004130836],"study_design_scores_gemma":[0.00006645241,0.00001833594,0.9978932,0.00002201128,0.00001033903,3.956809e-7,0.0003654015,0.0005501516,0.00071862,0.0002699459,0.0000432248,0.00004197855],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834258,0.00001166144,0.0000131165,0.00007912928,0.000009357292,0.00005835244,0.000001721261,0.000005303729,0.01639557],"genre_scores_gemma":[0.9994096,0.000001282058,0.0002060332,0.00008232477,0.000004282802,0.000007762608,0.000002543172,0.00000287968,0.0002833029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01611227,"threshold_uncertainty_score":0.1462628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02805960735436491,"score_gpt":0.2500416018910068,"score_spread":0.2219819945366419,"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."}}