{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003105966,0.0002298363,0.0001783133,0.001305352,0.001564123,0.0009818784,0.0008263632,0.000514339,0.002808566],"category_scores_gemma":[0.000762707,0.000143649,0.0001348749,0.002557432,0.0006300158,0.0005430384,0.001228854,0.0002848461,0.0002265292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003928036,"about_ca_system_score_gemma":0.005919646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.150358,"about_ca_topic_score_gemma":0.2551773,"domain_scores_codex":[0.9995328,0.00005658411,0.00004603086,0.00004808693,0.0001144858,0.0002019745],"domain_scores_gemma":[0.9990509,0.00009061411,0.0003085909,0.00003034365,0.0002646033,0.0002549499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001666525,0.000119634,0.9269581,0.0004924485,0.00005610842,0.005699533,0.004201273,0.0005590762,0.003877985,0.00274572,0.004286529,0.05083705],"study_design_scores_gemma":[0.000007202382,0.00007179879,0.9750128,0.00007906502,0.00002440088,0.001094611,0.0100668,0.000588287,0.000430925,0.0003904352,0.0122121,0.00002149557],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892659,0.003857598,0.0001480114,0.002365004,0.00003066075,0.00001930168,0.0005831718,0.00003069955,0.003699705],"genre_scores_gemma":[0.9962692,0.001571148,0.0001441638,0.0001815993,0.0000159276,0.00001154084,0.0003313633,0.000001693885,0.001473241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.150358,"threshold_uncertainty_score":0.2989656,"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."}}