{"id":"W2103537794","doi":"10.1002/cbic.201300033","title":"A Highly Efficient Molecular Cloning Platform that Utilises a Small Bacterial Toxin Gene","year":2013,"lang":"en","type":"article","venue":"ChemBioChem","topic":"Bacterial Genetics and Biotechnology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Cloning (programming); Molecular cloning; Computational biology; Escherichia coli; Biology; Gene; Molecular biology; Chemistry; Genetics; Computer science; Gene expression","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":[0.0001096881,0.000345216,0.0002696785,0.00006549672,0.00009428492,0.0001075182,0.0004507943,0.0005905371,0.0001471448],"category_scores_gemma":[0.00005724974,0.0003247241,0.0001709775,0.0001244965,0.0001625171,0.000003528183,0.0004280805,0.0001560659,0.00008859413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000277082,"about_ca_system_score_gemma":0.0000790839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005296569,"about_ca_topic_score_gemma":0.000008420622,"domain_scores_codex":[0.9983059,0.00002041781,0.0002884062,0.0006592724,0.0001414978,0.000584551],"domain_scores_gemma":[0.9989093,0.000007663305,0.0001295764,0.0006717621,0.0001085485,0.0001731479],"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":[0.00005728209,0.00009155046,0.00006266603,0.00001797943,0.00006119809,0.000006021977,0.00002699062,0.000008666262,0.9964472,0.00007687224,0.0006488705,0.002494688],"study_design_scores_gemma":[0.0007680184,0.0002261219,0.0004213695,0.00001474039,0.000024364,0.00003798114,0.00005485342,0.00006687258,0.9835876,0.00006030832,0.01432582,0.0004119765],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964413,0.0006624109,0.000373705,0.0003062869,0.0004643802,0.0004078554,0.00002395314,0.00006340595,0.001256679],"genre_scores_gemma":[0.9954692,0.00009499597,0.002823349,0.0003313774,0.0003829469,0.00009257506,0.0003074511,0.00005445402,0.0004436097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01367695,"threshold_uncertainty_score":0.9999205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01285450158141266,"score_gpt":0.2050424926898517,"score_spread":0.1921879911084391,"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."}}