{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008180607,0.0008548204,0.00102981,0.0008543395,0.0006079105,0.00255688,0.001237997,0.001695098,0.0353944],"category_scores_gemma":[0.007036654,0.0009409061,0.001505065,0.001067911,0.0005641048,0.003699329,0.002926996,0.001731491,0.007877825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009148321,"about_ca_system_score_gemma":0.0007493818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002016339,"about_ca_topic_score_gemma":0.002888852,"domain_scores_codex":[0.9993349,0.0002045199,0.00002773251,0.0001575563,0.000234999,0.00004023255],"domain_scores_gemma":[0.9980202,0.00114642,0.00005437273,0.0005478938,0.0001406005,0.00009051389],"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":[0.0001624467,0.0001682247,0.001126983,0.0004222482,0.0001150704,0.0003931274,0.000548491,0.6273329,0.006294305,0.1336453,0.04150069,0.1882902],"study_design_scores_gemma":[0.00002460224,0.000024737,0.0001422525,0.00004307783,0.00002883186,0.0001039494,0.00008748408,0.8566773,0.002604621,0.08106555,0.05917528,0.00002240824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01098103,0.0002239499,0.9587537,0.0008628288,0.0002241345,0.0001170854,0.001117047,0.005015352,0.02270477],"genre_scores_gemma":[0.4113506,0.002086623,0.5186431,0.0006566042,0.0002610836,0.0007815534,0.006535094,0.00430299,0.05538236],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0353944,"threshold_uncertainty_score":0.1184061,"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."}}