{"id":"W4288268174","doi":"","title":"Creating Personalized Dynamic Models","year":2019,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01676585,0.0004267086,0.0006535591,0.0004428567,0.0005342736,0.001271129,0.003034562,0.0004513516,0.0008875688],"category_scores_gemma":[0.005438694,0.0004038799,0.0004934437,0.0008373841,0.0002899402,0.0003128768,0.002158029,0.0007965904,0.000364686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002016221,"about_ca_system_score_gemma":0.0004444349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006214493,"about_ca_topic_score_gemma":0.0002961252,"domain_scores_codex":[0.9894982,0.005769607,0.001231864,0.00150411,0.001583011,0.0004131974],"domain_scores_gemma":[0.9814802,0.00795183,0.001169656,0.004465513,0.00471074,0.0002220704],"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":[0.00003902641,0.000784383,0.002045504,0.0001190732,0.0001301076,0.000003757625,0.01863744,0.02317353,0.001805024,0.7832799,0.007205773,0.1627765],"study_design_scores_gemma":[0.0003739814,2.316597e-7,0.001068472,0.0005715494,0.00003197761,0.000004683491,0.0003007089,0.7652425,0.001987437,0.2095717,0.02038137,0.000465431],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04135026,0.0006557683,0.7763186,0.00803573,0.0001638099,0.000847491,0.0001415298,0.0004268411,0.17206],"genre_scores_gemma":[0.8440202,0.000234345,0.08783937,0.000178081,0.00001998702,0.0001634003,0.000342349,0.00005973594,0.06714255],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8026699,"threshold_uncertainty_score":0.9998413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05808209784679552,"score_gpt":0.3364743206087176,"score_spread":0.2783922227619221,"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."}}