{"id":"W1981720963","doi":"10.1109/tase.2012.2188027","title":"A Generalized Tip-Membrane Contact Detection Algorithm for Automated Single Cell Electroporation Using Statistical Process Control","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Automation Science and Engineering","topic":"Microbial Inactivation Methods","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Simon Fraser University","funders":"Simon Fraser University","keywords":"Electroporation; Electrode; CUSUM; Membrane; Algorithm; Noise (video); Process (computing); Biological system; Computer science; Materials science; Engineering; Artificial intelligence; Chemistry; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005139679,0.0001243439,0.0001107266,0.0001658933,0.0002270723,0.00006756344,0.00005749229,0.00008494623,0.000005913994],"category_scores_gemma":[0.00004487267,0.0001294706,0.00002730497,0.0002940152,0.00004208399,0.00008266234,7.997983e-7,0.0000639567,0.000001193994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009694721,"about_ca_system_score_gemma":0.0000751359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007618071,"about_ca_topic_score_gemma":0.000001345252,"domain_scores_codex":[0.999127,0.00003075441,0.0001922682,0.0002177668,0.0001663836,0.0002658019],"domain_scores_gemma":[0.9994992,0.00003077798,0.0000702761,0.00009825084,0.0002049125,0.00009659642],"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":[0.0000213444,0.00004943163,0.000001167589,0.00002232279,0.000007935189,5.174534e-8,0.00004987489,0.03162836,0.9602308,0.000008904632,0.000004940257,0.007974919],"study_design_scores_gemma":[0.0003425225,0.00008547918,0.00004327217,0.000003599443,0.00001309853,0.000008221044,0.00001397194,0.4779427,0.5213959,0.000001152563,0.00006916052,0.00008094117],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.339462,0.00001110485,0.6600159,0.000007339491,0.0001685023,0.0002250651,0.00001815416,0.00008679031,0.000005130913],"genre_scores_gemma":[0.9231275,0.000004067475,0.07666308,0.00005075787,0.00006827962,0.00004694237,0.00001259297,0.00001679691,0.00001002979],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5836654,"threshold_uncertainty_score":0.527966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01525378366453476,"score_gpt":0.2900335191827947,"score_spread":0.2747797355182599,"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."}}