{"id":"W4220763764","doi":"10.1101/2022.03.11.483794","title":"Ion channel model reduction using manifold boundaries","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Wellcome Trust","keywords":"hERG; Identifiability; Channel (broadcasting); Ion channel; Manifold (fluid mechanics); Reduction (mathematics); Computer science; Boundary (topology); Potassium channel; Algorithm; Biological system; Topology (electrical circuits); Mathematics; Chemistry; Machine learning; Engineering; Biophysics; Mathematical analysis; Biology; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006337847,0.0008372499,0.001154136,0.0005987578,0.0003792661,0.0005672419,0.0007163335,0.0008624742,0.001924642],"category_scores_gemma":[0.002914159,0.0004133139,0.001592824,0.0002570777,0.000649238,0.000833594,0.0008166155,0.001581154,0.0004082505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000662693,"about_ca_system_score_gemma":0.0007613563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006705517,"about_ca_topic_score_gemma":0.003344644,"domain_scores_codex":[0.9996614,0.0001547063,0.00001414897,0.00005943699,0.00007629298,0.00003395909],"domain_scores_gemma":[0.9988661,0.0007290067,0.0000930866,0.0001209511,0.0001496558,0.00004124513],"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":[0.0000176782,0.00001279468,0.0001788496,0.00001697067,0.00001395192,0.0000236763,0.00002524507,0.9916922,0.0008792547,0.003910388,0.0002075256,0.003021544],"study_design_scores_gemma":[0.00000179497,0.000007708672,0.000031272,0.00000151851,0.000001751456,0.000003113513,0.000002267247,0.9974057,0.0001970389,0.002149003,0.0001966084,0.000002197942],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1038891,0.0002397889,0.8911472,0.0003142952,0.00005036186,0.0000678478,0.0002549095,0.0008217719,0.003214697],"genre_scores_gemma":[0.8486888,0.0001874524,0.1462506,0.0000950614,0.00004152445,0.0002442095,0.0007595486,0.0002183054,0.003514578],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006705517,"threshold_uncertainty_score":0.01333296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02065531587876383,"score_gpt":0.245382823786584,"score_spread":0.2247275079078202,"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."}}