{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04522529,0.000245911,0.0003831381,0.001614995,0.01535204,0.01401723,0.002187401,0.005362533,0.003606527],"category_scores_gemma":[0.07016407,0.000443401,0.0002656739,0.002677188,0.01298371,0.003960919,0.01187915,0.006432188,0.0002777973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02421441,"about_ca_system_score_gemma":0.04942536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01971921,"about_ca_topic_score_gemma":0.04807102,"domain_scores_codex":[0.9540657,0.03472812,0.0009603666,0.001607919,0.002743025,0.005894938],"domain_scores_gemma":[0.9011881,0.06203055,0.008605361,0.004528337,0.008201889,0.0154459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002394373,0.0004565987,0.03793851,0.0002765838,0.00004629364,0.001314478,0.7129476,0.0008095404,0.00385895,0.1557373,0.01575,0.07062469],"study_design_scores_gemma":[0.00005042659,0.0002467179,0.02695892,0.0004157542,0.00004045616,0.0002918502,0.7229886,0.001022084,0.003082229,0.01611111,0.2287181,0.00007368875],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8466163,0.001488958,0.002611399,0.09426098,0.0002933111,0.0001092839,0.00003755779,0.00004769256,0.05453454],"genre_scores_gemma":[0.9926019,0.0002344091,0.0006221829,0.001303093,0.00002848879,0.00002748722,0.000008229754,0.000008771871,0.0051654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04522529,"threshold_uncertainty_score":0.239177,"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."}}