{"id":"W1256588428","doi":"","title":"Molecular Breeding in an Industrial Setting","year":2007,"lang":"zh","type":"article","venue":"分子植物育种","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Business","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":[0.001481792,0.0003770668,0.0003935844,0.0006941206,0.0010824,0.001689628,0.0008453002,0.001292591,0.002648198],"category_scores_gemma":[0.0007482241,0.0003123769,0.0003535104,0.0007291579,0.001252053,0.0009904999,0.0009707868,0.002206561,0.0008065523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00113233,"about_ca_system_score_gemma":0.0009980086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007546976,"about_ca_topic_score_gemma":0.0007251332,"domain_scores_codex":[0.9993947,0.0002351898,0.00002475553,0.0001381208,0.0001378131,0.00006945483],"domain_scores_gemma":[0.9996485,0.00009949498,0.00003720686,0.00006941459,0.00006029889,0.00008521155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003947832,0.001180137,0.002869846,0.0002956696,0.00003838696,0.0007205192,0.0003733199,0.004566593,0.6533936,0.1274237,0.003527003,0.2052164],"study_design_scores_gemma":[0.0002636447,0.002694831,0.01063278,0.0001746446,0.0001357945,0.002211773,0.001061273,0.01524104,0.6312653,0.07574068,0.2604745,0.0001037186],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5697647,0.02418284,0.2979523,0.02000868,0.001241878,0.0004726659,0.0003800259,0.001182247,0.0848147],"genre_scores_gemma":[0.7891105,0.01024187,0.1746042,0.001392902,0.0003074871,0.000222885,0.0005323187,0.0001395661,0.02344815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002648198,"threshold_uncertainty_score":0.008859098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01377376934653961,"score_gpt":0.2489850782255519,"score_spread":0.2352113088790123,"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."}}