{"id":"W2116236513","doi":"10.1002/bit.22700","title":"Improving the long‐term storage of a mammalian biosensor cell line via genetic engineering","year":2010,"lang":"en","type":"article","venue":"Biotechnology and Bioengineering","topic":"Viral Infectious Diseases and Gene Expression in Insects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Cell culture; Biology; Computational biology; Gene; Biosensor; Cell; Cell biology; Biochemical engineering; Chemistry; Biochemistry; Genetics; Engineering","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":[0.00007245106,0.0001741321,0.0001275789,0.0000876226,0.00007642316,0.0000147665,0.0001921046,0.0003746512,0.00000786782],"category_scores_gemma":[0.00003491306,0.0001342165,0.00006821705,0.0001093495,0.0001219122,0.000003742769,0.0001692871,0.0002524397,0.000001744914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003454446,"about_ca_system_score_gemma":0.00001452542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001569044,"about_ca_topic_score_gemma":0.00001579126,"domain_scores_codex":[0.9992552,0.000008103361,0.0001818294,0.0002633107,0.00005651185,0.0002350559],"domain_scores_gemma":[0.9994602,0.000008750032,0.00006113531,0.0003802186,0.00002805428,0.00006170186],"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":[0.00001293582,0.00002729432,0.001362789,0.00007425864,0.00002248667,0.000005291643,0.000009251949,0.0005025466,0.9948824,0.00003715071,0.00001484184,0.003048763],"study_design_scores_gemma":[0.0002438527,0.0002248265,0.006775943,0.00001112302,0.00002471792,0.00006864887,0.00000829183,0.003635406,0.988333,0.00000320761,0.0004926356,0.0001783435],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821615,0.001385651,0.01576591,0.00009161785,0.0003788457,0.000138652,0.00001203926,0.00005715673,0.000008614753],"genre_scores_gemma":[0.9978646,0.000145611,0.001687654,0.00003064632,0.0001847086,0.00001031692,0.000008496386,0.00002412109,0.00004383871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0157031,"threshold_uncertainty_score":0.5473188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003106703279165736,"score_gpt":0.1908201081809222,"score_spread":0.1877134049017565,"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."}}