{"id":"W2951384476","doi":"10.1523/eneuro.0146-18.2018","title":"Deciphering the Contribution of Oriens-Lacunosum/Moleculare (OLM) Cells to Intrinsic θ Rhythms Using Biophysical Local Field Potential (LFP) Models","year":2018,"lang":"en","type":"article","venue":"eNeuro","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Krembil Foundation; University of Toronto; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Local field potential; Neuroscience; Field (mathematics); Rhythm; Computer science; Cognitive science; Physics; Biology; Psychology; Mathematics","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":[0.0001502619,0.0003005247,0.0002199228,0.000175344,0.0001383667,0.0003139371,0.000363137,0.0003390798,0.0004359263],"category_scores_gemma":[0.0004360446,0.000145682,0.0003203227,0.0001044828,0.0002625515,0.0003997628,0.0002236284,0.0002906756,0.0000673809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004338507,"about_ca_system_score_gemma":0.0002381765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002134499,"about_ca_topic_score_gemma":0.001322347,"domain_scores_codex":[0.99997,0.000005775997,0.000001360108,0.000008176547,0.000006014926,0.000008870496],"domain_scores_gemma":[0.9998685,0.0000517017,0.00003428513,0.00001264822,0.00001250675,0.00002028796],"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":[0.00007825295,0.00004829749,0.008447224,0.00006580183,0.00004881538,0.0002547574,0.00006842458,0.7492944,0.227387,0.006283126,0.0001922184,0.007831612],"study_design_scores_gemma":[0.000003667992,0.00001922631,0.002011307,0.000001510086,0.000007462963,0.00002592894,0.00001065404,0.990302,0.006597622,0.0008827032,0.0001339757,0.000003841861],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.865138,0.0002341696,0.1325559,0.0001244388,0.00001188189,0.00001673387,0.00005500566,0.0001609022,0.001702902],"genre_scores_gemma":[0.9955255,0.00009039982,0.004040759,0.000009501647,0.000003536732,0.00001192406,0.00002190611,0.00001107292,0.0002852558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002134499,"threshold_uncertainty_score":0.004244149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0334908107458048,"score_gpt":0.3026808435370354,"score_spread":0.2691900327912306,"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."}}