{"id":"W2391066407","doi":"","title":"Application Effect of MET on Hybrid Rape Seed Production of Qianyou No.28","year":2010,"lang":"en","type":"article","venue":"Seed","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Production (economics); Horticulture; Biology; Economics","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":[0.00008964915,0.0001865017,0.0002960339,0.0002457581,0.0001822274,0.0001862457,0.0001646695,0.0002325331,0.002449636],"category_scores_gemma":[0.0001378902,0.00007913819,0.0001777212,0.0001102564,0.0001456342,0.0001195217,0.0001668111,0.0003232737,0.0001689302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000164133,"about_ca_system_score_gemma":0.0002630828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001057211,"about_ca_topic_score_gemma":0.001943983,"domain_scores_codex":[0.9999425,0.00001367997,0.000003292958,0.0000149881,0.00001280534,0.00001270087],"domain_scores_gemma":[0.9999381,0.00001415454,0.000007940298,0.000003656389,0.00000673016,0.00002944829],"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":[0.001556186,0.0001423253,0.0003293455,0.0001216962,0.00001175911,0.0001140944,0.00005253285,0.00006812138,0.9922529,0.0001228458,0.00006970007,0.005158544],"study_design_scores_gemma":[0.0001315854,0.005938115,0.01030409,0.00002146805,0.0000842366,0.0001935026,0.0001553924,0.0007920541,0.9758739,0.0001251169,0.006364434,0.00001620186],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967172,0.0009412603,0.0004380969,0.0001078057,0.00002926368,0.00002383308,0.00007270035,0.00002314253,0.001646691],"genre_scores_gemma":[0.9952003,0.0003833131,0.0008182144,0.0000517122,0.00001044624,0.00001255693,0.0000843861,0.000009526739,0.003429517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002449636,"threshold_uncertainty_score":0.008194864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008376218066278852,"score_gpt":0.3096728866402401,"score_spread":0.3012966685739612,"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."}}