{"id":"W2367357471","doi":"","title":"Status and Development Countermeasures of Market Main Body of Hangzhou County After Seed Management System Reformed","year":2009,"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":"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006905345,0.00007572294,0.0001010833,0.0007771857,0.00109085,0.00103624,0.0008086501,0.0005881416,0.004583897],"category_scores_gemma":[0.001848953,0.0000977333,0.0001109135,0.0005631062,0.0005451402,0.0005785032,0.0008065922,0.0003796945,0.0001835373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002822575,"about_ca_system_score_gemma":0.007550384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03996545,"about_ca_topic_score_gemma":0.09582004,"domain_scores_codex":[0.9995913,0.00005688951,0.00001792558,0.00005093662,0.00009399006,0.0001889558],"domain_scores_gemma":[0.9986826,0.0002166188,0.0002598912,0.00005761912,0.0003912864,0.0003920039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007672269,0.0006806458,0.754686,0.0003458776,0.00007557034,0.003010901,0.01450576,0.001582108,0.02289573,0.07051332,0.02491393,0.106023],"study_design_scores_gemma":[0.00004580079,0.0002390536,0.9463403,0.00003794651,0.00004613158,0.0001263225,0.009064779,0.001918314,0.003260191,0.001097476,0.03780669,0.00001708678],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912526,0.0001655987,0.0001254577,0.001760637,0.00001848088,0.00003127018,0.0001364002,0.0000247984,0.006484736],"genre_scores_gemma":[0.9914429,0.00007121262,0.0001653297,0.0002021675,0.00001124635,0.00001537532,0.0001596115,0.000002685674,0.00792956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03996545,"threshold_uncertainty_score":0.07946563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007129056865837131,"score_gpt":0.2209699906369904,"score_spread":0.2138409337711533,"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."}}