{"id":"W2372912618","doi":"","title":"Discussion on Chinese Seed Industry How to Early Open International Hybrid Rice Market","year":2009,"lang":"en","type":"article","venue":"Seed","topic":"Agricultural Systems and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Business; Chinese market; Agricultural economics; China; Economics; Geography","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":[0.000241112,0.0001498825,0.000152148,0.00001011481,0.0001821032,0.0004918627,0.0006228805,0.0001018183,0.0003092796],"category_scores_gemma":[0.000111604,0.00003538264,0.00005561097,0.0002625553,0.000008115187,0.0005419626,0.0001364004,0.0002318212,0.0001174902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002949023,"about_ca_system_score_gemma":0.000003477096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004718569,"about_ca_topic_score_gemma":0.0001113084,"domain_scores_codex":[0.9990131,0.00009402479,0.0001361164,0.0002938692,0.0002676716,0.000195195],"domain_scores_gemma":[0.9995292,0.00008927618,0.0001147173,0.00005627303,0.00005540273,0.0001551506],"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":[0.001031313,0.000538705,0.2613737,0.000006010538,0.00007215506,0.00006191681,0.0004669225,0.00001406776,0.6040966,0.0002487857,0.05124029,0.08084957],"study_design_scores_gemma":[0.0001221783,0.0003260884,0.9416973,0.00002981553,0.000003326781,0.000008872111,0.0002040472,0.00001238426,0.0002513153,0.0001257078,0.05706364,0.00015534],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9049061,0.000007643815,6.641491e-7,0.06988367,0.0002887713,0.0003072298,0.00003567998,0.00004285285,0.02452737],"genre_scores_gemma":[0.9706427,0.000003344493,0.00003254614,0.001350839,0.0007038324,0.00001039164,0.00004765553,6.369174e-7,0.02720798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6803236,"threshold_uncertainty_score":0.4743043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01763275437150781,"score_gpt":0.259448379976035,"score_spread":0.2418156256045272,"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."}}