{"id":"W2789563074","doi":"10.1016/j.bpj.2017.11.3619","title":"High-throughput Cell Screening for Spions Studies using Impedance Spectroscopy","year":2018,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Dielectric spectroscopy; Microfluidics; Electrical impedance; Biomedical engineering; Medicine; Materials science; Chemistry; Nanotechnology","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":[0.0004987424,0.0006980012,0.0007890324,0.0003836352,0.0003757845,0.0006731039,0.0004250086,0.0006804077,0.002047258],"category_scores_gemma":[0.0007305003,0.0002238752,0.0004089084,0.0004473577,0.0002620491,0.0006258585,0.0004455288,0.0006965449,0.001103343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002438175,"about_ca_system_score_gemma":0.0002102007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003630034,"about_ca_topic_score_gemma":0.000842899,"domain_scores_codex":[0.9995627,0.00006051654,0.00003241974,0.00006662594,0.0002083506,0.00006933248],"domain_scores_gemma":[0.9996299,0.0001701219,0.00002622213,0.00004623887,0.00009993951,0.00002757854],"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":[0.00002759344,0.00003897738,0.0001645887,0.0000349446,0.000006201869,0.00005864763,0.00003893451,0.0002886831,0.9973674,0.00009026855,0.000125673,0.001758052],"study_design_scores_gemma":[0.000006609367,0.0002375352,0.000906056,0.000004287381,0.00001630472,0.0000830852,0.00004624648,0.004682188,0.9925741,0.0001853032,0.001249232,0.000008996628],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8470912,0.0008850574,0.1426467,0.0004802655,0.00008519764,0.0005714777,0.001927404,0.001146385,0.005166166],"genre_scores_gemma":[0.9392797,0.001443756,0.05118036,0.0002134338,0.00003791965,0.0005411925,0.001804254,0.0001455652,0.005353697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002047258,"threshold_uncertainty_score":0.006848812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1116994638331132,"score_gpt":0.3641247685603006,"score_spread":0.2524253047271874,"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."}}