{"id":"W2349250403","doi":"","title":"Practice and Reflection of Municipal Agricultural Research Institutes in Seed Industry Development","year":2010,"lang":"en","type":"article","venue":"Seed","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Agriculture; Reflection (computer programming); Business; Agricultural economics; Agricultural science; Geography; Environmental science; Economics; Computer science; Archaeology","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":[0.0005511995,0.00003618227,0.00003962119,0.00005140029,0.0001002601,0.00001250076,0.00006547771,0.00008254937,0.00006892846],"category_scores_gemma":[0.0003650385,0.00002623476,0.000004123411,0.0005077497,0.0001163543,0.0003369843,0.00007285408,0.0004497038,0.00002272292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007728722,"about_ca_system_score_gemma":0.00004486941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001236815,"about_ca_topic_score_gemma":0.002158441,"domain_scores_codex":[0.9994487,0.00001929703,0.0001296346,0.00009646265,0.0002000408,0.0001059125],"domain_scores_gemma":[0.9997704,0.00005602246,0.00003756796,0.00006660143,0.00003949961,0.00002992026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001409499,0.0001832921,0.614236,0.000005132856,0.000004957517,5.126919e-7,0.004260465,0.00004400484,0.376121,0.003569731,0.00009625766,0.001464563],"study_design_scores_gemma":[0.00008829236,0.00001543292,0.9784349,0.000006124203,6.949715e-7,0.000005000714,0.002094514,0.00001371117,0.006424858,0.000158151,0.01272151,0.00003682049],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653719,0.000003286917,7.534894e-7,0.001016186,0.00007428003,0.00008132405,3.831933e-7,0.000003992044,0.03344787],"genre_scores_gemma":[0.9956687,0.00000295078,0.00340169,0.00004560561,0.00002193062,0.00001324329,0.00000607537,0.000001855595,0.0008379472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3696961,"threshold_uncertainty_score":0.1953764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05198505652298778,"score_gpt":0.3644984305903693,"score_spread":0.3125133740673815,"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."}}