{"id":"W2379534783","doi":"","title":"Reason and Countermeasures on Production Low Yield of Qiyou Series Varieties","year":2009,"lang":"en","type":"article","venue":"Seed","topic":"Forest, Soil, and Plant Ecology in China","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Yield (engineering); Series (stratigraphy); Production (economics); Horticulture; Biology; Economics; Materials science; Metallurgy","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":[0.0005256702,0.0002248636,0.0001521747,0.0004339036,0.0005578338,0.0004755025,0.0004721178,0.0003629333,0.001487311],"category_scores_gemma":[0.0007889637,0.00009135451,0.0001584719,0.0003665013,0.0004823191,0.0003327419,0.0004126433,0.0004017201,0.0001003782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007787937,"about_ca_system_score_gemma":0.001044978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004393056,"about_ca_topic_score_gemma":0.008376575,"domain_scores_codex":[0.9997863,0.00003369437,0.00001750939,0.00006252254,0.00005073492,0.0000491525],"domain_scores_gemma":[0.9993524,0.0001233732,0.000231685,0.00007019529,0.000123965,0.00009835096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009191537,0.0003582095,0.6555986,0.0003019788,0.0002027418,0.001794106,0.002433356,0.00243108,0.2212134,0.01304328,0.003494013,0.09821007],"study_design_scores_gemma":[0.00007110232,0.0003003282,0.9538474,0.00002880362,0.0001530676,0.0004255516,0.002588065,0.002104602,0.02643866,0.003978715,0.01003801,0.00002575462],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953862,0.0004082328,0.0007038713,0.001016007,0.0000176097,0.0000128767,0.00004705867,0.00002742239,0.002380948],"genre_scores_gemma":[0.9982538,0.0001116956,0.0003309466,0.0001269738,0.00001239922,0.000005470309,0.00004537237,0.000004020519,0.00110947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004393056,"threshold_uncertainty_score":0.008734941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01537704065903819,"score_gpt":0.2534870616988562,"score_spread":0.238110021039818,"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."}}