{"id":"W2372494753","doi":"","title":"Discussion for Strategy and Measures to Accelerating Seed Industry Development Paces in New Situation","year":2008,"lang":"en","type":"article","venue":"Seed","topic":"Rangeland Management and Livestock Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Business","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":[0.0001177093,0.00006457384,0.00007163635,0.00003315963,0.0001189249,0.00001419875,0.00005128481,0.00006289336,0.00005418573],"category_scores_gemma":[0.00002163329,0.00004509558,0.000007276614,0.00008817478,0.00001544861,0.0001219964,0.00005758669,0.00005679711,0.00001857353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004509237,"about_ca_system_score_gemma":0.00001885767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001439017,"about_ca_topic_score_gemma":0.002396493,"domain_scores_codex":[0.9994978,0.0000159609,0.000106107,0.0001558576,0.00008386832,0.0001404429],"domain_scores_gemma":[0.9998518,0.00001447113,0.00002645091,0.00004343296,0.000002133765,0.0000616919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000265066,0.00002206097,0.9733414,0.000003795896,0.000003924234,0.000001751445,0.002517073,0.001030931,0.005802935,0.00003384868,0.0006372262,0.01657856],"study_design_scores_gemma":[0.0003823655,0.00005483189,0.9948743,0.00000615861,0.000002076343,7.774077e-7,0.0003767993,0.0002243983,0.0004759245,0.000125338,0.003397023,0.0000799933],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954168,0.000007268212,0.0007462932,0.0007092478,0.0000321607,0.0003639035,2.41956e-7,0.00001369613,0.002710407],"genre_scores_gemma":[0.9908961,0.000002872616,0.002887295,0.00008256933,0.00002472837,0.00002623334,0.000004842825,0.000004493477,0.006070866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02153292,"threshold_uncertainty_score":0.1838944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04469564309767814,"score_gpt":0.2525243831269935,"score_spread":0.2078287400293153,"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."}}