{"id":"W1984087109","doi":"10.1186/1471-2202-11-s1-p122","title":"Calcium-dependent subthreshold fluctuations in membrane voltage; a modeling study","year":2010,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Subthreshold conduction; Noise (video); Biophysics; Membrane potential; Calcium; Intracellular; Conductance; Physics; Thermal fluctuations; Neuroscience; Ion channel; Chemistry; Calcium in biology; Voltage-dependent calcium channel; Voltage; Biology; Computer science; Condensed matter physics; 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":[0.0002754779,0.0004390702,0.0005242567,0.000289221,0.0003693334,0.0004762902,0.0009610284,0.0006654619,0.0007525287],"category_scores_gemma":[0.0009618478,0.000195521,0.0004938525,0.0002874912,0.0003146551,0.0006168861,0.0002990832,0.0005179304,0.000117596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001003142,"about_ca_system_score_gemma":0.000820156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01301533,"about_ca_topic_score_gemma":0.007592988,"domain_scores_codex":[0.9998869,0.00002902934,0.000005415651,0.00002227027,0.00003416187,0.00002222592],"domain_scores_gemma":[0.9996657,0.0001553778,0.00008143174,0.00002800578,0.00004389027,0.00002561139],"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":[0.00002628321,0.00003225145,0.0007874708,0.00003392908,0.00001718308,0.0001383069,0.00005659129,0.9801936,0.006754384,0.01001646,0.000227972,0.001715595],"study_design_scores_gemma":[0.000003671868,0.00001048407,0.0001211633,0.000002128822,0.000003079592,0.00001395394,0.000002840123,0.9984912,0.000376486,0.0008425736,0.0001299366,0.000002482114],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7831955,0.001064066,0.2005311,0.001032055,0.00003414206,0.00009489072,0.0006420257,0.0004717591,0.01293445],"genre_scores_gemma":[0.9887453,0.0004240012,0.009105112,0.00004307914,0.00001913365,0.00005924213,0.00007736304,0.00004544063,0.00148139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01301533,"threshold_uncertainty_score":0.02587914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07709253052003157,"score_gpt":0.3078458433798023,"score_spread":0.2307533128597707,"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."}}