{"id":"W2130399884","doi":"10.3390/ijms160921215","title":"Physiological Dynamics in Demyelinating Diseases: Unraveling Complex Relationships through Computer Modeling","year":2015,"lang":"en","type":"review","venue":"International Journal of Molecular Sciences","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"Canadian Institutes of Health Research; National Institutes of Health","keywords":"DECIPHER; Reductionism; Computer science; Mechanism (biology); Simple (philosophy); Multiple sclerosis; Neuroscience; Computational model; Cognitive science; Complex system; Data science; Artificial intelligence; Bioinformatics; Biology; Epistemology; Psychology; Immunology","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":[0.0009024629,0.001268873,0.002006513,0.002276136,0.0002705519,0.001264834,0.001511973,0.001618958,0.001748519],"category_scores_gemma":[0.001734048,0.0004613813,0.001136154,0.002108504,0.001042186,0.001858706,0.0009485938,0.002215731,0.0009989333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008336632,"about_ca_system_score_gemma":0.001427195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002735024,"about_ca_topic_score_gemma":0.002290176,"domain_scores_codex":[0.9997752,0.00007214362,0.00003201519,0.00003773242,0.00006737312,0.00001550914],"domain_scores_gemma":[0.9991265,0.0006299418,0.0000682418,0.00003099899,0.0001150316,0.00002923302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007936654,0.00009784359,0.0007600079,0.03262887,0.0004773328,0.0003071333,0.0002486648,0.01220936,0.001559098,0.04628983,0.01970971,0.8856326],"study_design_scores_gemma":[0.0000396978,0.0001613755,0.002206179,0.01326353,0.0006037721,0.001939538,0.0002385801,0.008706165,0.001514891,0.07131106,0.8998774,0.0001377575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002254834,0.996425,0.001856323,0.0005575033,0.0001215994,0.000007259393,0.00002133551,0.00001649806,0.0007690164],"genre_scores_gemma":[0.002233717,0.9962006,0.00104597,0.000136095,0.0001342708,0.00001053812,0.00002835731,0.000003932537,0.0002064301],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002735024,"threshold_uncertainty_score":0.006048679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3756952346531123,"score_gpt":0.471680207822522,"score_spread":0.09598497316940963,"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."}}