{"id":"W2392538142","doi":"","title":"Countermeasures for Perfecting Private Seed Enterprise Economic Development Policy Support System","year":2009,"lang":"en","type":"article","venue":"Seed","topic":"Agricultural Development and Policies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Business; Private enterprise; Industrial organization; Finance","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":[0.0002231535,0.0002066443,0.0002257577,0.0000215221,0.0003774595,0.0001166404,0.0002401977,0.00008329647,0.00002486786],"category_scores_gemma":[0.00002054926,0.00007708118,0.0001015071,0.0001123579,0.00001892577,0.0001347572,0.00003914042,0.00006067002,0.0001035258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002433992,"about_ca_system_score_gemma":0.00004199658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000995023,"about_ca_topic_score_gemma":0.0001487305,"domain_scores_codex":[0.9988399,0.00002531249,0.0003149596,0.000263709,0.0001271109,0.0004290611],"domain_scores_gemma":[0.9996125,0.00006265527,0.0001266518,0.00004116113,0.00004760568,0.0001094609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004962259,0.0002231371,0.2669568,0.0001645528,0.0002249801,0.00001218864,0.007100997,0.00006033343,0.6195509,0.008691937,0.005229876,0.09128805],"study_design_scores_gemma":[0.0002121583,0.0001484212,0.9480001,0.00004276224,0.000008024513,0.000013405,0.0004478086,0.00003561876,0.007948271,0.00005045116,0.04281998,0.0002730471],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994954,0.00002395637,0.000007822109,0.001319265,0.000178328,0.0004157523,0.00002313474,0.0001888521,0.002888811],"genre_scores_gemma":[0.9969146,0.000007152366,0.0002023623,0.0004355735,0.0006021639,0.0000304112,0.0001381417,0.000001252539,0.001668343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6810432,"threshold_uncertainty_score":0.314328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01390934044454608,"score_gpt":0.2213607516737092,"score_spread":0.2074514112291631,"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."}}