{"id":"W3012454631","doi":"10.12688/f1000research.22584.2","title":"Computationally going where experiments cannot: a dynamical assessment of dendritic ion channel currents during in vivo-like states","year":2020,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Neuroscience; Population; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000322229,0.0003111688,0.0004421133,0.0004598828,0.0001405192,0.0001623159,0.0006781641,0.0001687274,0.000112083],"category_scores_gemma":[0.0002165543,0.0003288802,0.0001267237,0.0004762688,0.0001507953,0.0001543017,0.001677912,0.00126818,0.00001740623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005432782,"about_ca_system_score_gemma":0.0003838619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003285942,"about_ca_topic_score_gemma":0.0001256698,"domain_scores_codex":[0.9957453,0.0004930512,0.0006312108,0.001024756,0.001520446,0.0005852129],"domain_scores_gemma":[0.9987375,0.0003771251,0.0002027515,0.0003264433,0.0001528649,0.0002033326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002463097,0.000801721,0.008539044,0.00248875,0.0000379697,0.000369889,0.0009639633,0.07513534,0.9093765,0.00101281,0.0004881414,0.0005395888],"study_design_scores_gemma":[0.0009094269,0.0001585309,0.02685566,0.0007997162,0.000007331018,0.00001031952,0.0001270337,0.9459936,0.02204966,0.002675179,0.00006399342,0.0003495772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995186,0.00008469313,0.001102691,0.0008252354,0.0009568786,0.001032036,0.0003797366,0.00006999316,0.0003627708],"genre_scores_gemma":[0.9986745,0.0002435233,0.0002417871,0.00007664429,0.00009787902,0.0001761533,0.000120573,0.00005807415,0.0003108878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8873268,"threshold_uncertainty_score":0.9999163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07262824145986496,"score_gpt":0.3845222272299463,"score_spread":0.3118939857700813,"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."}}