{"id":"W2126673616","doi":"10.1186/1471-2202-9-s1-p49","title":"Non-conductive vs. conductive cell membranes – a reassessment of this assumption when modeling cells under magnetic field stimulation","year":2008,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Electrical conductor; Stimulation; Membrane; Neuroscience; Magnetic field; Field (mathematics); Materials science; Chemistry; Biology; Physics; Mathematics; Composite material; Biochemistry","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":[0.0008601812,0.0006858217,0.0007378405,0.0004106849,0.0004717915,0.001705388,0.001991455,0.002655463,0.001501416],"category_scores_gemma":[0.00236813,0.0003642856,0.001239256,0.0003269435,0.001420952,0.00260974,0.001239894,0.001640739,0.0008277112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006298087,"about_ca_system_score_gemma":0.0004627588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001783542,"about_ca_topic_score_gemma":0.0007664845,"domain_scores_codex":[0.9994404,0.0002006471,0.00003602847,0.00009348326,0.0001735853,0.00005596202],"domain_scores_gemma":[0.9989218,0.0005467053,0.0001146288,0.000207284,0.0001629812,0.0000465778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002956551,0.0001567451,0.002207407,0.0009585646,0.0000880568,0.002328893,0.001254389,0.6212593,0.1273495,0.2017879,0.002196038,0.04011753],"study_design_scores_gemma":[0.00004337663,0.0002777424,0.001292013,0.0001607812,0.00007443778,0.001140877,0.0002184585,0.903011,0.01403466,0.063613,0.0160728,0.00006089727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2015374,0.01157489,0.7424219,0.006349477,0.001123785,0.0001978996,0.000579163,0.0006126931,0.03560291],"genre_scores_gemma":[0.9059362,0.007107117,0.07617907,0.0009468418,0.0004269659,0.00026294,0.0001873029,0.0001911239,0.008762364],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002655463,"threshold_uncertainty_score":0.005022705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09328106275090317,"score_gpt":0.2866866039031794,"score_spread":0.1934055411522762,"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."}}