{"id":"W2036314551","doi":"10.1038/ncb1207-1336","title":"A not-so-rough guide to genes and cloning","year":2007,"lang":"en","type":"article","venue":"Nature Cell Biology","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Cloning (programming); Gene; Computational biology; Cell biology; Biology; Genetics; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0006940815,0.0001807556,0.0001786062,0.0001072387,0.0001124109,0.00002838384,0.0002890189,0.0008738244,0.0000198838],"category_scores_gemma":[0.0003497048,0.0001457149,0.00006224882,0.0001267396,0.0002380077,0.000002169648,0.0003390393,0.0003343438,0.00003945171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000148069,"about_ca_system_score_gemma":0.00008225637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002567374,"about_ca_topic_score_gemma":0.00009119287,"domain_scores_codex":[0.9985564,0.00003845089,0.0003037997,0.0003858171,0.0001462904,0.0005691979],"domain_scores_gemma":[0.9991475,0.00005394555,0.00005817299,0.0003006029,0.0001440388,0.0002957553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001194274,0.00002545321,0.001688586,0.00003038518,0.00002021509,0.000005424016,0.00006468686,0.00000162323,0.9319302,0.00009444475,0.006278289,0.05974127],"study_design_scores_gemma":[0.0002702276,0.0003510007,0.001153338,0.000004059748,0.000004734374,0.000008970015,0.00005550728,0.0000151477,0.4342504,0.00002704173,0.5637262,0.0001334124],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732357,0.00705064,0.004948254,0.001140767,0.0006640208,0.0003409595,0.00003903967,0.00002390881,0.01255674],"genre_scores_gemma":[0.9777356,0.001398869,0.0121244,0.005704663,0.0007156006,0.000007108768,0.0001622999,0.00001866163,0.002132757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5574479,"threshold_uncertainty_score":0.6739734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008574038433083776,"score_gpt":0.3095653398530274,"score_spread":0.3009913014199436,"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."}}