{"id":"W2153908344","doi":"10.3791/2325","title":"Modeling Biological Membranes with Circuit Boards and Measuring Electrical Signals in Axons: Student Laboratory Exercises","year":2011,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto; Korea University; International Brain Research Organization","keywords":"Electrophysiology; Neuroscience; Membrane; Nerve cells; Terminology; Computer science; Biology; Cell 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001562124,0.001517123,0.0005519586,0.0002906853,0.0003913181,0.0008376393,0.001127275,0.0009634964,0.01034614],"category_scores_gemma":[0.002415531,0.0002833131,0.0006793954,0.0003110348,0.0003605476,0.00125826,0.001016363,0.00117943,0.003791454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000603219,"about_ca_system_score_gemma":0.0004260129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005120841,"about_ca_topic_score_gemma":0.0006903727,"domain_scores_codex":[0.999607,0.0001233772,0.000016204,0.00008334396,0.0001410141,0.00002906775],"domain_scores_gemma":[0.9988084,0.0005011036,0.00004763454,0.0001759307,0.0003066259,0.0001603328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005147803,0.003129794,0.0024769,0.0007520436,0.00009540677,0.00052106,0.001435845,0.166523,0.07272317,0.04997095,0.07544228,0.6264148],"study_design_scores_gemma":[0.0003785953,0.003535149,0.003658843,0.0006280216,0.0001046479,0.001334148,0.0009580922,0.4252724,0.1475203,0.1086072,0.3078318,0.0001708896],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08491493,0.001486199,0.8458889,0.004251558,0.0009538946,0.0004025635,0.0004065438,0.004025212,0.05767021],"genre_scores_gemma":[0.2963198,0.003960578,0.5680841,0.0009826957,0.0008816211,0.0006786109,0.0009267254,0.001149443,0.1270165],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01034614,"threshold_uncertainty_score":0.03461128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1644544307645234,"score_gpt":0.393886659673323,"score_spread":0.2294322289087996,"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."}}