{"id":"W785808426","doi":"10.1016/j.mcm.2009.08.019","title":"Preface","year":2009,"lang":"en","type":"article","venue":"Mathematical and Computer Modelling","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Mathematics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001386201,0.0001225738,0.0001784556,0.00003481894,0.00006601847,0.00007988004,0.00009684682,0.00003902403,0.00003118857],"category_scores_gemma":[0.000001989168,0.0000965245,0.00003784186,0.00007051298,0.00002693697,0.00009511259,0.00003751152,0.00009279089,0.0006545104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008548082,"about_ca_system_score_gemma":0.000004038021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.615968e-7,"about_ca_topic_score_gemma":2.577635e-8,"domain_scores_codex":[0.9992217,0.00001775072,0.0001822284,0.000207563,0.0001563077,0.0002143866],"domain_scores_gemma":[0.9996336,0.0000489795,0.00002694536,0.0001619594,0.00002228076,0.0001062417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002023272,0.000325345,0.000009706535,0.00007160453,0.00002052986,0.00001385748,0.00143808,0.1100388,0.0002805382,0.8626598,0.0006150001,0.02450651],"study_design_scores_gemma":[0.0001120008,0.00004017394,0.00001172319,0.00003993375,0.000007458421,0.00001914787,0.000003257169,0.7205676,0.00008315093,0.2788018,0.0002197864,0.0000940497],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1721742,0.00006145886,0.8242748,0.0001332291,0.00001381182,0.00008316043,8.463288e-7,0.0001709701,0.003087508],"genre_scores_gemma":[0.768761,0.000003017532,0.2307668,0.0002088294,0.00009288299,0.000001885665,9.62366e-7,0.00001443585,0.0001501103],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6105288,"threshold_uncertainty_score":0.8412625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03466394861267149,"score_gpt":0.2365794158574921,"score_spread":0.2019154672448207,"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."}}