{"id":"W4243046693","doi":"10.5376/mpb.cn.2012.10.0012","title":"dbMarker：基于云计算的分子标记管理系统","year":2012,"lang":"zh","type":"article","venue":"分子植物育种","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003709075,0.0002813434,0.0002688906,0.0001147992,0.0001173504,0.00001999204,0.0002646831,0.0004504767,0.001291628],"category_scores_gemma":[0.00004672891,0.00029394,0.00011281,0.000220983,0.0001296708,0.0003675715,0.00006916869,0.0005154534,0.002073254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005744574,"about_ca_system_score_gemma":0.00002012775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004751105,"about_ca_topic_score_gemma":0.00002010174,"domain_scores_codex":[0.9985498,0.00005582368,0.0002711473,0.0001878366,0.0001329761,0.0008024814],"domain_scores_gemma":[0.9992122,0.00007275214,0.00002795925,0.0005065753,0.00002056035,0.0001599619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001179554,0.0001161672,0.02395385,0.0002180694,0.0002178883,0.00002021819,0.00109121,0.0001768283,0.0006094438,0.9344433,0.01698322,0.02215801],"study_design_scores_gemma":[0.002079071,0.0003063005,0.441655,0.0003806407,0.0004680859,0.0002667166,0.004777709,0.003500383,0.001416863,0.3628915,0.1791102,0.003147454],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02916261,0.035747,0.0008084725,0.0003151591,0.002150642,0.000140992,0.00002429801,0.0007217336,0.9309291],"genre_scores_gemma":[0.9952581,0.0007329556,0.000745657,0.00005704064,0.0006567589,0.00001583848,0.00001106393,0.00004419491,0.002478401],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9660955,"threshold_uncertainty_score":0.9999513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01083485184002094,"score_gpt":0.2088465165409642,"score_spread":0.1980116647009432,"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."}}