{"id":"W2889546754","doi":"10.1016/j.cels.2018.07.004","title":"Open-Source High-Throughput Phenomics of Bacterial Promoter-Reporter Strains","year":2018,"lang":"en","type":"article","venue":"Cell Systems","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research; Canada Foundation for Innovation","keywords":"Phenomics; Gene expression; Escherichia coli; Biology; Computational biology; Reporter gene; Bioreporter; Gene; Synthetic biology; Genetics; Genomics; Genome","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002004419,0.002169911,0.002161753,0.003173883,0.001265355,0.002093122,0.003254491,0.001161748,0.008727854],"category_scores_gemma":[0.002764849,0.001553176,0.001716351,0.002621225,0.0004889628,0.001097535,0.0020551,0.00243111,0.01391543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001013776,"about_ca_system_score_gemma":0.001563068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002378786,"about_ca_topic_score_gemma":0.00547027,"domain_scores_codex":[0.9977679,0.0001860424,0.0001650966,0.0004331734,0.001231323,0.00021644],"domain_scores_gemma":[0.9974458,0.0005591938,0.0002669129,0.0008760662,0.0005261964,0.0003258413],"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":[0.0007196919,0.0002198835,0.0009943288,0.00047369,0.00009730232,0.0001594032,0.0001421477,0.0008494224,0.9481295,0.0009237675,0.01764203,0.0296488],"study_design_scores_gemma":[0.0001531377,0.000145775,0.005554432,0.00006680629,0.00009684238,0.0003663716,0.00004838959,0.01088711,0.9233692,0.0009920811,0.05818621,0.0001336942],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09656051,0.001479396,0.6209614,0.0007753615,0.0005179892,0.001443898,0.1041671,0.1660028,0.008091597],"genre_scores_gemma":[0.1298973,0.002361497,0.6041549,0.0003791443,0.0001801445,0.003835676,0.2074116,0.0337559,0.01802379],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008727854,"threshold_uncertainty_score":0.02919757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01087376541834045,"score_gpt":0.2542516585450219,"score_spread":0.2433778931266815,"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."}}