{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002401791,0.0000712632,0.0001049495,0.00001214479,0.00008062114,0.00003793809,0.00007275337,0.00003672478,0.00002692837],"category_scores_gemma":[0.00001012825,0.00002536787,0.00001859459,0.0001447626,0.00006291859,0.00005267991,0.00004008315,0.00005049641,0.000002484257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001008124,"about_ca_system_score_gemma":0.000002800836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001641457,"about_ca_topic_score_gemma":0.00007649142,"domain_scores_codex":[0.9992852,0.00003863431,0.00009544877,0.000151536,0.0002121501,0.0002170212],"domain_scores_gemma":[0.9997573,0.00005676739,0.0000287519,0.00003234147,0.00004013053,0.00008470301],"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":[0.0002383839,0.0001576269,0.09239417,0.0001169888,0.00004515461,0.00001851301,0.000172664,6.122238e-7,0.8233134,0.001025359,0.0009009453,0.08161616],"study_design_scores_gemma":[0.0001605857,0.000163463,0.9962829,0.00001785968,0.000008100324,0.000002989047,0.0003268519,0.00002299197,0.000257081,0.0003332396,0.002357768,0.00006617547],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914286,0.0006537598,5.304823e-7,0.0007163977,0.00001862835,0.000139635,0.00002013616,0.0000147977,0.00700755],"genre_scores_gemma":[0.9974134,0.00163553,0.00004026479,0.0001199752,0.00002752718,0.00000190897,0.000006274046,3.348618e-7,0.0007547612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9038887,"threshold_uncertainty_score":0.1034472,"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."}}