{"id":"W4293874807","doi":"","title":"A Brief Note on Recombinant DNA","year":2014,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Recombinant DNA; Computational biology; DNA; Computer science; Genetics; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002908736,0.0003199326,0.000305502,0.00006066928,0.0002190303,0.0001668375,0.0009654234,0.0004981458,0.00003893279],"category_scores_gemma":[0.002009851,0.00028827,0.0002548642,0.00009735492,0.0001558953,0.000002425636,0.001588938,0.0004783567,0.00004294013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003394752,"about_ca_system_score_gemma":0.0001198958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000151259,"about_ca_topic_score_gemma":0.0001690379,"domain_scores_codex":[0.9953685,0.002808106,0.0003731729,0.0009036139,0.0002036323,0.0003429875],"domain_scores_gemma":[0.9967567,0.0003859669,0.0003365451,0.001669355,0.0007050797,0.0001463215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000202384,0.002239,0.002586285,0.0003626581,0.0002939072,0.00001837834,0.001339007,0.000384367,0.4260539,0.05131329,0.01929733,0.4959095],"study_design_scores_gemma":[0.001103042,0.00001203973,0.004645664,0.002222707,0.00005417932,0.00001786084,0.00002062119,0.00649976,0.6624483,0.005521274,0.3162535,0.001200971],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8399197,0.0005198654,0.07520092,0.00562229,0.0006118749,0.0004229343,0.00003620352,0.0001330912,0.07753311],"genre_scores_gemma":[0.9824443,0.0002789164,0.0086664,0.0004586463,0.00009562495,0.00002793802,0.0009567338,0.00003531312,0.007036071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4947085,"threshold_uncertainty_score":0.999957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01261274124983458,"score_gpt":0.2367436830185738,"score_spread":0.2241309417687392,"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."}}