{"id":"W2362786687","doi":"","title":"In Silico Cloning,Bioinformatics and Adaptive Evolution Analysis of rbcL Gene in Chrysanthemum morifolium","year":2015,"lang":"en","type":"article","venue":"Seed","topic":"Photosynthetic Processes and Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"In silico; Cloning (programming); Biology; Computational biology; Genetics; Amino acid; Open reading frame; Chrysanthemum morifolium; Gene; Sequence analysis; Molecular cloning; Peptide sequence; Botany; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002101341,0.00008251388,0.0001801995,0.0001574943,0.000009063842,0.000004662809,0.00007628494,0.0000931965,0.000001573244],"category_scores_gemma":[0.00005830944,0.00007845963,0.00003660468,0.000281678,0.00003433045,0.000006602075,0.0000620622,0.00004451406,7.461456e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000236893,"about_ca_system_score_gemma":0.00007754454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002788059,"about_ca_topic_score_gemma":0.0003280498,"domain_scores_codex":[0.9994183,0.00001855752,0.0002005947,0.0001354232,0.00008532456,0.0001418041],"domain_scores_gemma":[0.9996597,0.000005329589,0.00007868397,0.0001455717,0.00005729533,0.00005339413],"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":[0.0001468262,0.00007931756,0.004797077,0.00001893716,0.0001055261,0.000002509313,0.0007935006,0.000736386,0.9927049,0.0004943587,0.00000924665,0.0001113961],"study_design_scores_gemma":[0.0009102981,0.0002636402,0.01200359,0.00001635992,0.0001055358,0.00000579938,0.001181804,0.04086563,0.9432362,0.001141026,0.0001062641,0.0001638513],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941794,0.0003103396,0.004845862,0.00001811826,0.00004212093,0.00009022649,0.00001616401,0.000003094608,0.0004946956],"genre_scores_gemma":[0.9990298,0.0000601243,0.0007532125,0.00004802042,0.00001707679,0.000007370438,0.00002980694,0.000005699776,0.00004886237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04946872,"threshold_uncertainty_score":0.3199491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01076119843802202,"score_gpt":0.2387620765274338,"score_spread":0.2280008780894118,"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."}}