{"id":"W1985178889","doi":"10.3791/3288","title":"Culturing and Electrophysiology of Cells on NRCC Patch-clamp Chips","year":2012,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Hotchkiss Brain Institute; Institute for Biological Sciences; Institute for Microstructural Sciences","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Alberta Heritage Foundation for Medical Research; Fondation pour la Recherche Médicale","keywords":"Pipette; Patch clamp; Materials science; Microfluidics; Micromanipulator; Nanotechnology; Microelectrode; Aperture (computer memory); Electrophysiology; Biomedical engineering; Ion channel; Optoelectronics; Electrode; Computer science; Chemistry; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.002408247,0.0007377153,0.001927512,0.0007412604,0.0007984906,0.001277238,0.003070597,0.001251248,0.007174765],"category_scores_gemma":[0.002154283,0.0006283299,0.001026462,0.0008827729,0.0007600019,0.0006530878,0.0008735112,0.001977313,0.01073477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005991796,"about_ca_system_score_gemma":0.0007009205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001498487,"about_ca_topic_score_gemma":0.003541489,"domain_scores_codex":[0.9964879,0.0003493942,0.0005533664,0.0009325151,0.001381504,0.0002953692],"domain_scores_gemma":[0.9975448,0.0004731157,0.0001772741,0.0009681604,0.0006717183,0.0001647756],"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":[0.0001106976,0.00005731199,0.0004136956,0.0002442819,0.00002451754,0.0001855475,0.0001797218,0.0006055994,0.9878762,0.0008665175,0.002813307,0.006622688],"study_design_scores_gemma":[0.00006537628,0.0004754319,0.005396144,0.000092938,0.00009206266,0.0007160188,0.0000871719,0.01315256,0.9260175,0.0006306509,0.05315765,0.0001165057],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1592311,0.003095455,0.7761031,0.001159988,0.001516943,0.004727498,0.02160597,0.0138808,0.01867917],"genre_scores_gemma":[0.1948263,0.003186443,0.7608165,0.001095185,0.0002233235,0.008318572,0.01650318,0.001438689,0.01359173],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007174765,"threshold_uncertainty_score":0.02400196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04955685987783372,"score_gpt":0.4025665304965861,"score_spread":0.3530096706187524,"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."}}