{"id":"W2371878446","doi":"","title":"Grain and Vegetable Pea Grassland No.23 Introduction Performance and High Yield Cultivation Techniques in Huangzhongxian County","year":2009,"lang":"en","type":"article","venue":"Seed","topic":"Agricultural Productivity and Crop Improvement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Grassland; Yield (engineering); Agronomy; Grain yield; Agroforestry; Environmental science; Geography; Biology; Materials science","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":[0.0001441334,0.000095531,0.0000857226,0.0003645939,0.000997568,0.0002429608,0.0002958697,0.00009693831,0.00215284],"category_scores_gemma":[0.0001236852,0.00008789337,0.00007087327,0.0004755287,0.0003328977,0.0001194809,0.0002571638,0.0001436266,0.0001509976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001293172,"about_ca_system_score_gemma":0.001731655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07416062,"about_ca_topic_score_gemma":0.3148656,"domain_scores_codex":[0.9999003,0.00001545317,0.000003776366,0.00002716366,0.00001552762,0.00003772035],"domain_scores_gemma":[0.9998488,0.00001470036,0.00002165141,0.00001211053,0.00002444339,0.00007814055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005027105,0.0006585069,0.8137624,0.0002262991,0.00005286649,0.002145712,0.006492571,0.001717101,0.07097913,0.002533318,0.003963951,0.09696542],"study_design_scores_gemma":[0.00001537367,0.0002442135,0.9846873,0.000009226486,0.00001148271,0.0002328343,0.003517789,0.0005904996,0.001437808,0.0001075328,0.009136766,0.000009088069],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984629,0.0000313937,0.0001039499,0.00003236835,0.000001882945,0.000008888454,0.00009634483,0.000006738669,0.001255473],"genre_scores_gemma":[0.9941866,0.00004151071,0.000545423,0.0000158578,0.000002230137,0.00001276324,0.0002600228,0.000002413143,0.004933132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07416062,"threshold_uncertainty_score":0.147458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007419355817447665,"score_gpt":0.180607986832033,"score_spread":0.1731886310145853,"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."}}