{"id":"W2367222166","doi":"","title":"Advance of Hybrid Wheat Seed Production in Yunnan","year":2011,"lang":"en","type":"article","venue":"Seed","topic":"Agricultural Productivity and Crop Improvement","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Production (economics); Agronomy; Business; Agricultural engineering; Horticulture; Biology; Economics; Engineering","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":[0.0003596007,0.000184291,0.0001438157,0.0003560333,0.0003129044,0.0003990611,0.0002533435,0.0001161672,0.0007816081],"category_scores_gemma":[0.0001814837,0.00007826932,0.0001587986,0.0003813522,0.0001525663,0.0002505219,0.0002827241,0.0002260911,0.0001024848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008835251,"about_ca_system_score_gemma":0.001051892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009452804,"about_ca_topic_score_gemma":0.02279465,"domain_scores_codex":[0.9999356,0.00001256524,0.000008242831,0.00001758147,0.000008903517,0.00001710192],"domain_scores_gemma":[0.9998456,0.00001921284,0.0000268551,0.00001559882,0.00002528217,0.00006742813],"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":[0.001820482,0.0001987343,0.1542573,0.0001278652,0.00006575906,0.001548912,0.0008871481,0.001234623,0.7800204,0.002027784,0.0002363792,0.05757468],"study_design_scores_gemma":[0.00005731125,0.00044962,0.9657207,0.00001022549,0.00003655073,0.0006419498,0.0009334416,0.001292144,0.02464803,0.0006318671,0.005566209,0.00001202723],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986081,0.0001925186,0.0001789184,0.00002771358,0.00000250049,0.000002659358,0.0000356761,0.000005790469,0.0009461512],"genre_scores_gemma":[0.9986343,0.0001246247,0.0003341544,0.00001625484,0.000002451335,0.000002518628,0.00008791039,0.000002743897,0.0007950439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009452804,"threshold_uncertainty_score":0.01879555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02085381161988953,"score_gpt":0.1942575032961057,"score_spread":0.1734036916762162,"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."}}