{"id":"W2945712785","doi":"10.3390/plants8050128","title":"Mutation Breeding in Tomato: Advances, Applicability and Challenges","year":2019,"lang":"en","type":"review","venue":"Plants","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":128,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Mutagenesis; Genome editing; Genome; Biology; Computational biology; Biotechnology; Insertional mutagenesis; Molecular breeding; Mutation breeding; Mutation; Identification (biology); Whole genome sequencing; Trait; Forward genetics; Genetics; Computer science; Mutant; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002292685,0.0005528985,0.0009655116,0.001267899,0.0004263853,0.001453048,0.0008088393,0.001276865,0.001613799],"category_scores_gemma":[0.001015267,0.0003670975,0.0007990573,0.001001012,0.0008252784,0.002154691,0.0007428979,0.002473435,0.0008008555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008221988,"about_ca_system_score_gemma":0.001396865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001037172,"about_ca_topic_score_gemma":0.001277867,"domain_scores_codex":[0.9990261,0.0001652436,0.00009793218,0.0002689492,0.0003804017,0.00006146983],"domain_scores_gemma":[0.9993303,0.0003115959,0.00006144447,0.00004380162,0.000190441,0.00006236281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001457928,0.0001169094,0.002311834,0.01154978,0.0001141652,0.00107731,0.0007698904,0.002050089,0.2191045,0.02797573,0.008848228,0.7259358],"study_design_scores_gemma":[0.00003170222,0.0006910872,0.004365114,0.002023696,0.0002457526,0.004040471,0.0005601663,0.00309364,0.05945933,0.01638841,0.9089528,0.0001478663],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.009876909,0.9466677,0.02935648,0.003662631,0.0005823709,0.00007628714,0.0001613856,0.0002259518,0.009390314],"genre_scores_gemma":[0.03486367,0.9256756,0.03396894,0.001524782,0.0004467329,0.00007261588,0.0003108126,0.00009770304,0.003039218],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002292685,"threshold_uncertainty_score":0.01212496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0433873332759436,"score_gpt":0.3605978910574847,"score_spread":0.3172105577815412,"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."}}