{"id":"W2010935152","doi":"10.1227/01.neu.0000325877.67752.0f","title":"MATHEMATICAL MODELING OF THE BRAIN","year":2008,"lang":"en","type":"review","venue":"Neurosurgery","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Analogy; Constructive; Variety (cybernetics); Mathematical model; Management science; Simple (philosophy); Medicine; Mathematical structure; Language of mathematics; Data science; Computer science; Engineering ethics; Epistemology; Artificial intelligence; Process (computing); Mathematics education; Mathematics","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":[0.000832687,0.001122367,0.0008368216,0.001627141,0.0003068656,0.001126186,0.001600114,0.001395274,0.002604466],"category_scores_gemma":[0.00162659,0.0002074307,0.0009217291,0.001106513,0.002580292,0.002044567,0.0008565757,0.001431405,0.001544819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001189253,"about_ca_system_score_gemma":0.001259088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001589552,"about_ca_topic_score_gemma":0.0007287608,"domain_scores_codex":[0.9997131,0.0001101643,0.00002012357,0.00004512329,0.00009597161,0.0000154888],"domain_scores_gemma":[0.9996039,0.000231324,0.00004324573,0.00003839501,0.00007139923,0.0000117647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001727425,0.0000173802,0.0002220947,0.002073467,0.00007225085,0.0002488036,0.0001770157,0.0417899,0.001489872,0.8313645,0.01287147,0.1096561],"study_design_scores_gemma":[0.0000140219,0.00004002812,0.0004697596,0.001257177,0.00005379314,0.001046692,0.00008314555,0.04479783,0.001465966,0.681258,0.2694729,0.00004078309],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005379575,0.5369463,0.3672101,0.01574434,0.001552612,0.00005774997,0.0003567616,0.0004992397,0.07225342],"genre_scores_gemma":[0.2006171,0.6874883,0.08643905,0.002049867,0.002364147,0.0003305266,0.0004565005,0.0001265152,0.02012809],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002604466,"threshold_uncertainty_score":0.008712769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1618189998207819,"score_gpt":0.3570844267788839,"score_spread":0.195265426958102,"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."}}