{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002670682,0.00357186,0.003072717,0.004656626,0.003282181,0.004376037,0.005201247,0.003518227,0.03769164],"category_scores_gemma":[0.006499122,0.005176441,0.002934267,0.004164229,0.003358297,0.004748946,0.003655374,0.02107676,0.06227602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001513076,"about_ca_system_score_gemma":0.003107722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00253977,"about_ca_topic_score_gemma":0.009840876,"domain_scores_codex":[0.9982578,0.000403639,0.0002669087,0.0002320646,0.0006472736,0.0001922877],"domain_scores_gemma":[0.9951677,0.00196567,0.0001837725,0.00113622,0.001050875,0.0004958013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002931196,0.000289301,0.000313475,0.001278047,0.0001581241,0.0007505403,0.0004103175,0.001877586,0.03623261,0.04594621,0.7526242,0.1598265],"study_design_scores_gemma":[0.000070846,0.00009728476,0.000477001,0.0002415007,0.00005131682,0.001051784,0.00006847593,0.001272745,0.006434805,0.06284855,0.9272944,0.00009128734],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.001200812,0.02493704,0.8927259,0.01092933,0.01929855,0.00063649,0.007868997,0.01860805,0.02379489],"genre_scores_gemma":[0.006068662,0.02706807,0.8684672,0.0122831,0.003345845,0.002252232,0.0121698,0.007338514,0.06100657],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.03769164,"threshold_uncertainty_score":0.1260911,"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."}}