{"id":"W2387365558","doi":"","title":"Maize and Rice Seeds Marketo Status and Management Countermeasures of Zhijin County","year":2009,"lang":"en","type":"article","venue":"Seed","topic":"GABA and Rice Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Agronomy; Business; Agricultural engineering; Biology; 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":[0.000228559,0.00007203165,0.0001191758,0.0005567497,0.0006084684,0.0003378853,0.0002455094,0.0001397316,0.0007046906],"category_scores_gemma":[0.0003439722,0.0000880066,0.00007743857,0.0004436873,0.0002328262,0.0001500453,0.0002894946,0.0001586373,0.0000374602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009965812,"about_ca_system_score_gemma":0.001057267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04204748,"about_ca_topic_score_gemma":0.1195732,"domain_scores_codex":[0.9998691,0.0000231254,0.000009449354,0.00002491257,0.00002047062,0.00005286808],"domain_scores_gemma":[0.9997213,0.00003047065,0.00008563766,0.00001361144,0.00006225705,0.00008663061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00120379,0.0002567612,0.9567614,0.00003668873,0.00005436503,0.00098887,0.002335522,0.0002900601,0.01976385,0.00087976,0.0004639769,0.01696496],"study_design_scores_gemma":[0.00001018743,0.0001470702,0.9958999,0.000002350594,0.00001588882,0.00007927958,0.001623053,0.0001617464,0.0009297362,0.00004709396,0.001080576,0.000003174457],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996105,0.00002401083,0.000009975955,0.00003271792,8.933358e-7,0.00000160268,0.00002963187,0.000001281612,0.0002895996],"genre_scores_gemma":[0.9993945,0.0000206172,0.00003372321,0.000009799543,9.308176e-7,0.000001556188,0.00005692287,5.464944e-7,0.0004812863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04204748,"threshold_uncertainty_score":0.08360547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01387890786315847,"score_gpt":0.2359636991337796,"score_spread":0.2220847912706211,"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."}}