{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004021843,0.000620721,0.0005044299,0.000734716,0.0006988221,0.0006211264,0.0005185508,0.0004443829,0.001928548],"category_scores_gemma":[0.0006832412,0.0002767309,0.001016803,0.0005234243,0.0001261557,0.0003384147,0.0002262347,0.0004073383,0.0008803844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007003756,"about_ca_system_score_gemma":0.0006416389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00218972,"about_ca_topic_score_gemma":0.00324048,"domain_scores_codex":[0.9997357,0.00004755172,0.00001782582,0.00008933999,0.00007640788,0.00003319217],"domain_scores_gemma":[0.9998313,0.00006091385,0.00003775445,0.00001240509,0.00003342015,0.0000241517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001869154,0.000482423,0.05087302,0.001876317,0.0003609854,0.002313226,0.0006063076,0.02969473,0.8551978,0.00183054,0.005470056,0.0494254],"study_design_scores_gemma":[0.0004429936,0.0009411225,0.1136206,0.0002117038,0.000799317,0.002469968,0.000555436,0.5050288,0.3272245,0.002374453,0.04615308,0.0001779552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9261418,0.001453098,0.05601356,0.0006322465,0.00007913462,0.0001355959,0.0104419,0.002249012,0.002853669],"genre_scores_gemma":[0.8665243,0.0008668345,0.09396295,0.0002012434,0.00003636228,0.0001613678,0.03518576,0.000442892,0.002618249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00218972,"threshold_uncertainty_score":0.006451607,"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."}}