{"id":"W2368478295","doi":"","title":"Crop Varieties Regional Test Status and Development Countermeasures of Hunan Province","year":2010,"lang":"en","type":"article","venue":"Seed","topic":"Forest, Soil, and Plant Ecology in China","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Crop; Agroforestry; Geography; Agronomy; Biology; Forestry","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":[0.0006836844,0.0001218168,0.0001309696,0.001225026,0.0007651803,0.0003809965,0.000536247,0.0001521192,0.001006447],"category_scores_gemma":[0.0008262773,0.00007894682,0.0001029748,0.0009471397,0.0004410641,0.0002914248,0.0004078516,0.0001835002,0.00004377911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002170523,"about_ca_system_score_gemma":0.003727771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07577923,"about_ca_topic_score_gemma":0.153928,"domain_scores_codex":[0.9996724,0.0000571676,0.00002113461,0.00007529963,0.00007757632,0.00009640829],"domain_scores_gemma":[0.9990252,0.0001063998,0.0002066704,0.00006370583,0.0003116856,0.0002864299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005155327,0.0002179326,0.9655231,0.0000224758,0.00002504071,0.0002400267,0.001186598,0.0006122278,0.006920626,0.001402579,0.0005434414,0.02279052],"study_design_scores_gemma":[0.000011475,0.00008508028,0.9973416,0.000002042701,0.00001200934,0.00003295369,0.0006936631,0.0003754247,0.0007132594,0.00009788666,0.0006315191,0.000003137656],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986426,0.00003025639,0.00004717005,0.00005283455,0.000002237257,0.000005751609,0.00007848966,0.000005794829,0.001134803],"genre_scores_gemma":[0.9990748,0.00001340854,0.00005775399,0.00001209013,0.000001326317,0.000003576339,0.0001091785,8.392528e-7,0.0007269785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07577923,"threshold_uncertainty_score":0.1506763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01709752267034341,"score_gpt":0.2587816713213254,"score_spread":0.241684148650982,"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."}}