{"id":"W3147037317","doi":"","title":"Mutation Techniques for Gene Discovery and Crop Improvement","year":2007,"lang":"en","type":"article","venue":"分子植物育种","topic":"Plant Genetic and Mutation Studies","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mutation; Crop; Genetics; Biology; Gene; Agronomy","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":[],"consensus_categories":[],"category_scores_codex":[0.0001548222,0.00004450639,0.00005052902,0.000004525526,0.00009740247,0.00002429795,0.00002594058,0.00002279743,0.000004247057],"category_scores_gemma":[0.00001137818,0.00001610685,0.00001731764,0.00003689094,0.0000202831,0.00004663226,0.00001697563,0.00001279954,0.000001242339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005759035,"about_ca_system_score_gemma":0.000001388195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004121296,"about_ca_topic_score_gemma":0.0001156468,"domain_scores_codex":[0.9996654,0.00000365617,0.00008159334,0.00009982772,0.00005039549,0.00009911457],"domain_scores_gemma":[0.9998387,0.00007445348,0.00002908302,0.00001072503,0.00002612196,0.00002094459],"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":[0.000009075265,0.00000952617,0.0006219527,0.000002497356,0.000004384242,7.589194e-7,0.00003671557,1.077204e-7,0.6725934,0.0001345617,0.000319565,0.3262674],"study_design_scores_gemma":[0.0001332798,0.0003752974,0.197742,0.000006887493,0.00001361983,0.000007345279,0.0005718446,0.000009830199,0.7747927,0.00220774,0.02399796,0.0001414942],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953532,0.0001692564,0.003013284,0.0003022994,0.00003938029,0.0001979306,0.00004213985,0.00003168992,0.0008508576],"genre_scores_gemma":[0.9977116,0.00005312009,0.00131093,0.0001979826,0.0001352001,0.00002080917,0.00004264878,2.866851e-7,0.0005273943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3261259,"threshold_uncertainty_score":0.07491508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0169493983567726,"score_gpt":0.2476871403740065,"score_spread":0.2307377420172339,"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."}}