{"id":"W2802177010","doi":"10.3389/fphys.2018.00304","title":"High-Performance Agent-Based Modeling Applied to Vocal Fold Inflammation and Repair","year":2018,"lang":"en","type":"article","venue":"Frontiers in Physiology","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute on Deafness and Other Communication Disorders; National Institutes of Health; Nvidia; National Science Foundation","keywords":"Fold (higher-order function); Inflammation; Vocal fold paralysis; Medicine; Computational biology; Computer science; Biology; Immunology; Surgery","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":[0.0004319954,0.0006658689,0.0008407668,0.000461447,0.00077587,0.001331609,0.001233524,0.001701974,0.00242051],"category_scores_gemma":[0.001019353,0.0005295713,0.001136352,0.0004094871,0.0006733743,0.0005424985,0.001112222,0.000946939,0.000324387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00100056,"about_ca_system_score_gemma":0.001811947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02225194,"about_ca_topic_score_gemma":0.01013503,"domain_scores_codex":[0.9998206,0.00005931417,0.00001107209,0.00002744625,0.000057192,0.00002435628],"domain_scores_gemma":[0.9996781,0.0001499957,0.00004039299,0.00002529154,0.0000664226,0.00003985518],"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":[0.00001177118,0.00001308146,0.0003201741,0.00002077721,0.00001093299,0.00005629165,0.00001912437,0.9942976,0.001060215,0.002532336,0.0001394303,0.001518384],"study_design_scores_gemma":[0.000004034828,0.000006091021,0.00004902876,0.000002220715,0.000002410094,0.000006756326,0.000003337464,0.9990143,0.000136715,0.0004640369,0.0003084525,0.000002686935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0830059,0.001138161,0.895878,0.001053261,0.0002757467,0.0002834231,0.000372656,0.0009263453,0.01706665],"genre_scores_gemma":[0.8270577,0.00116778,0.1611395,0.000252494,0.0000932397,0.0006187656,0.0002733165,0.0001701084,0.009227009],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02225194,"threshold_uncertainty_score":0.04424483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01071883276177539,"score_gpt":0.2378132265471127,"score_spread":0.2270943937853373,"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."}}