{"id":"W3043546021","doi":"","title":"Current situation of seed industry and countermeasure in Chengdu City.","year":2014,"lang":"en","type":"article","venue":"Seed","topic":"Agricultural Systems and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Countermeasure; Current (fluid); Business; Engineering; Electrical engineering; Aerospace engineering","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":[0.0003126413,0.00006468684,0.0001153446,0.000005746011,0.00004044102,0.00002283843,0.00006303135,0.0001051642,0.00002143493],"category_scores_gemma":[0.00006716674,0.00002108787,0.00001910164,0.0001411419,0.00002043672,0.0001327078,0.00002139548,0.0001496563,0.000004030552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008583199,"about_ca_system_score_gemma":0.000002818369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006856952,"about_ca_topic_score_gemma":0.0006710461,"domain_scores_codex":[0.9994484,0.00007914357,0.0001443149,0.0001182786,0.0001210994,0.00008879909],"domain_scores_gemma":[0.9996886,0.00009926876,0.0001113016,0.00002030367,0.00004393963,0.00003654319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001258399,0.00003060631,0.9296839,0.0000131929,0.000002983915,1.488214e-7,0.0001600023,0.000002329298,0.05923118,0.00008080866,0.00003393413,0.01074831],"study_design_scores_gemma":[0.00009845856,0.00005852577,0.9917679,0.00004309533,0.000003199699,0.00000149359,0.0002420808,0.00007127711,0.0004783144,0.0000858675,0.007084921,0.00006481144],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980562,0.0002677199,6.815389e-7,0.0005732198,0.00007654976,0.0001003159,0.000004850258,0.00001150048,0.0009089852],"genre_scores_gemma":[0.9997293,0.00001942351,0.000003623607,0.00002742932,0.0001429234,0.000002213871,0.00001406122,2.272949e-7,0.00006077166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06208403,"threshold_uncertainty_score":0.1036571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02608506657535599,"score_gpt":0.2376880661133852,"score_spread":0.2116029995380292,"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."}}