{"id":"W2952631121","doi":"10.1073/pnas.1720659115","title":"Action potential counting at giant mossy fiber terminals gates information transfer in the hippocampus","year":2018,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Medical Research Council; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Government of Canada; Wellcome Trust; Burroughs Wellcome Fund","keywords":"Mossy fiber (hippocampus); Neuroscience; Hippocampus; Action (physics); Transfer (computing); Information transfer; Chemistry; Computer science; Psychology; Physics; Telecommunications; Parallel computing","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":[0.0001472348,0.000217895,0.0003495769,0.0002477064,0.0001879228,0.0004930854,0.0005620125,0.0003339502,0.000678355],"category_scores_gemma":[0.0006914189,0.0001764097,0.000180313,0.000155944,0.0005113725,0.0007160345,0.0004699778,0.0004551573,0.0001849294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007437599,"about_ca_system_score_gemma":0.0004613639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002852584,"about_ca_topic_score_gemma":0.002698102,"domain_scores_codex":[0.9998959,0.000007011284,0.00000882295,0.00002420315,0.00003338328,0.00003063752],"domain_scores_gemma":[0.9996651,0.00005992372,0.0001061969,0.00002473882,0.00003813127,0.0001059328],"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":[0.0001410781,0.00002621523,0.001319312,0.00003328863,0.000009109229,0.0001396688,0.00003288277,0.0007769554,0.9895207,0.0005514272,0.000137922,0.007311525],"study_design_scores_gemma":[0.00007279018,0.0003147201,0.06421479,0.00002754895,0.00006066745,0.0004471642,0.0001195151,0.04671915,0.8830423,0.004135307,0.0008027962,0.0000432965],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938619,0.0002770851,0.00427594,0.0001316522,0.00003939609,0.000007254524,0.00009931398,0.0001881129,0.001119267],"genre_scores_gemma":[0.9978772,0.0001432126,0.001420914,0.00002603791,0.000006101339,0.000004642115,0.00002838847,0.00002499307,0.0004685985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002852584,"threshold_uncertainty_score":0.005671918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07022112929497826,"score_gpt":0.3492724999207412,"score_spread":0.279051370625763,"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."}}