{"id":"W6920232445","doi":"10.60692/anytt-j2722","title":"Application of CRISPR/Cas9 Genome Editing Technology for the Improvement of Crops Cultivated in Tropical Climates: Recent Progress, Prospects, and Challenges","year":2018,"lang":"en","type":"article","venue":"Greater South Information System","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatchewan Research Council (Canada)","funders":"","keywords":"Genome editing; CRISPR; Population; Zinc finger nuclease; Genome; Food security; Transcription activator-like effector nuclease; Emerging technologies","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":[0.0005755457,0.0005659385,0.0007838809,0.0008789967,0.0002705591,0.0009457663,0.0004778213,0.0006360927,0.002273753],"category_scores_gemma":[0.0004249895,0.0001957286,0.0004685638,0.0009501518,0.0004094468,0.0009597323,0.0004556919,0.001155728,0.000852598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005740613,"about_ca_system_score_gemma":0.0008289867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009637071,"about_ca_topic_score_gemma":0.001314222,"domain_scores_codex":[0.9996666,0.00004264165,0.00004071919,0.00007798703,0.0001363789,0.00003570479],"domain_scores_gemma":[0.9997467,0.00009620861,0.0000515844,0.00001216604,0.00006477258,0.00002858337],"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":[0.0001660879,0.00007558394,0.00105421,0.01427102,0.0001313529,0.0009681491,0.0001993538,0.00144967,0.2968456,0.009118324,0.01794452,0.657776],"study_design_scores_gemma":[0.0000283938,0.0004432274,0.003954479,0.001082441,0.0002837603,0.003040151,0.0001862892,0.002100772,0.1272231,0.004364996,0.8571825,0.0001098478],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01491775,0.9418702,0.02236973,0.002758534,0.0008945282,0.0000598637,0.000389155,0.0005792252,0.01616102],"genre_scores_gemma":[0.04836729,0.925048,0.01719892,0.0009554233,0.0002788657,0.0000402493,0.0006901606,0.00006764233,0.007353483],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002273753,"threshold_uncertainty_score":0.007606387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0156533760678901,"score_gpt":0.2557939058302285,"score_spread":0.2401405297623384,"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."}}