{"id":"W2354382717","doi":"","title":"Characteristics and Its High Yield Cultivation Technology of Hybrid Rape Qianyou No.19","year":2009,"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":"Yield (engineering); Horticulture; Biology; Materials science; Composite material","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":[0.00006930935,0.0002009509,0.0001534519,0.0003398666,0.0002336628,0.000324907,0.0001419702,0.0001545572,0.001196063],"category_scores_gemma":[0.0001319842,0.0001142879,0.0002725519,0.0002995247,0.00009658151,0.0001833087,0.00013637,0.0002610857,0.0006620892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001709502,"about_ca_system_score_gemma":0.0001627158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001798736,"about_ca_topic_score_gemma":0.001677599,"domain_scores_codex":[0.999945,0.000005335926,0.00000497715,0.00001418108,0.00002204381,0.000008348921],"domain_scores_gemma":[0.9999338,0.00001518294,0.00001219556,0.000007918137,0.00001517048,0.00001575262],"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":[0.00001471292,0.000002457329,0.0002684519,0.00001079598,0.000001061107,0.0000822811,0.00002718207,0.00003751386,0.998536,0.0000532531,0.00001428557,0.0009519312],"study_design_scores_gemma":[0.00001170305,0.0001690654,0.02443154,0.000006496633,0.00003825576,0.001384834,0.000183116,0.0009915393,0.9642719,0.0001745062,0.008318323,0.00001866903],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827845,0.0009374847,0.00893396,0.0001849349,0.00002394519,0.00003020502,0.0007429529,0.00007867862,0.006283308],"genre_scores_gemma":[0.9867895,0.000377887,0.004775546,0.00003062907,0.000008243466,0.00002259872,0.001185882,0.00004845449,0.006761171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001798736,"threshold_uncertainty_score":0.0040012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02066510357710483,"score_gpt":0.2985135257021109,"score_spread":0.2778484221250061,"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."}}