{"id":"W2082973745","doi":"10.1016/j.celrep.2014.11.042","title":"Channelrhodopsin-Assisted Patching: In Vivo Recording of Genetically and Morphologically Identified Neurons throughout the Brain","year":2014,"lang":"en","type":"article","venue":"Cell Reports","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Neuroscience; Channelrhodopsin; Optogenetics; Glutamatergic; GABAergic; Thalamic reticular nucleus; Nerve net; Biology; Brain function; Electrophysiology; Premovement neuronal activity; In vivo; Cholinergic; Computer science; Nucleus; Inhibitory postsynaptic potential; Glutamate receptor","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001698151,0.0002977457,0.0002836694,0.0001892955,0.0001741786,0.0003086533,0.0005680835,0.000360941,0.0004601103],"category_scores_gemma":[0.0002024461,0.0001921208,0.0002031413,0.0001307078,0.000462778,0.0004086695,0.0003736278,0.0005890566,0.0002382456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001997588,"about_ca_system_score_gemma":0.0002389066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006297793,"about_ca_topic_score_gemma":0.001164868,"domain_scores_codex":[0.9998678,0.00001575507,0.00001084115,0.00005278855,0.00003173933,0.00002112437],"domain_scores_gemma":[0.9998887,0.00002876363,0.00003250372,0.00002355598,0.00000927492,0.00001720399],"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":[0.00001348478,0.000003770903,0.00004662156,0.00001490598,0.000002292851,0.00002675477,0.00001097062,0.00003278216,0.99829,0.0001200468,0.00001889419,0.001419467],"study_design_scores_gemma":[0.00001775339,0.00009991042,0.002988601,0.00000675544,0.00001524786,0.0005477371,0.00002369101,0.001525534,0.9930836,0.0002289514,0.001453329,0.000008928549],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6744442,0.002207594,0.3173824,0.0004416452,0.0001502024,0.0001818784,0.0008213347,0.0006684273,0.003702378],"genre_scores_gemma":[0.8502235,0.002445894,0.1440192,0.0001698796,0.0000560392,0.0002211415,0.0003964773,0.0001218772,0.002345923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006297793,"threshold_uncertainty_score":0.00153923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05120941366172002,"score_gpt":0.3207605339706495,"score_spread":0.2695511203089295,"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."}}