{"id":"W3201165649","doi":"10.1101/2021.09.17.460684","title":"Kalium rhodopsins: Natural light-gated potassium channels","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Optogenetics; Channelrhodopsin; Potassium channel; Biophysics; Potassium; Chemistry; Cell permeability; Neuroscience; Biology; Biochemistry","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","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0007154939,0.000981172,0.0009343541,0.0005672219,0.0004305002,0.001363099,0.001939987,0.000891882,0.0003348474],"category_scores_gemma":[0.001628271,0.001024017,0.0004042225,0.001463951,0.000284281,0.0003034457,0.002125231,0.002417047,0.0002886061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004971816,"about_ca_system_score_gemma":0.001320011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006720896,"about_ca_topic_score_gemma":0.000003490346,"domain_scores_codex":[0.993027,0.0007304058,0.0007897452,0.002470194,0.001443677,0.00153903],"domain_scores_gemma":[0.9955915,0.0002067721,0.0004139796,0.0022447,0.0008272646,0.0007157495],"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":[0.00004201337,0.0002227357,0.0003219637,0.0002699425,0.00005608171,0.0003591801,0.00002707238,0.00005366769,0.9975724,0.0001560181,0.000917227,0.00000167687],"study_design_scores_gemma":[0.000493219,0.00005281757,0.002890366,0.0003148164,0.0000488275,9.885448e-8,0.000004710249,0.001346601,0.9819016,0.000001737209,0.01181331,0.00113191],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852537,0.001867962,0.0002207539,0.0006669335,0.009687201,0.001148154,0.0003093989,0.0007407049,0.0001052202],"genre_scores_gemma":[0.9958494,0.000733225,0.001063681,0.0007254236,0.001090753,0.0002046469,0.000001048993,0.0002647122,0.0000670568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01567083,"threshold_uncertainty_score":0.9998844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03080702650496167,"score_gpt":0.2659148888580801,"score_spread":0.2351078623531184,"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."}}