{"id":"W4403935757","doi":"10.1145/3652620.3688340","title":"Towards Rapid Design of Compartmental Models","year":2024,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; McGill University; Université de Montréal","funders":"Wellcome Trust","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":[0.00789281,0.001186858,0.001338909,0.001421903,0.000957236,0.00335221,0.003738362,0.001694966,0.003633802],"category_scores_gemma":[0.02753586,0.001983671,0.003451187,0.0009359577,0.002064487,0.003645904,0.004026154,0.002515723,0.0006686205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00210243,"about_ca_system_score_gemma":0.004052103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006397753,"about_ca_topic_score_gemma":0.008627338,"domain_scores_codex":[0.9960136,0.001903254,0.0004057103,0.0004911261,0.000953168,0.0002330358],"domain_scores_gemma":[0.9855137,0.009467686,0.000851098,0.001928318,0.001939379,0.0002998405],"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":[0.00008014157,0.00005323398,0.001486588,0.0002763683,0.00008131655,0.0001755123,0.0005907975,0.8792871,0.003359934,0.09315284,0.0007477039,0.02070845],"study_design_scores_gemma":[0.00002806648,0.00002801171,0.00007312468,0.00004496133,0.00002464286,0.0000285459,0.00006223626,0.9573272,0.001699071,0.03534104,0.005326442,0.00001665506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005644145,0.0000632013,0.9925046,0.0001502898,0.0000187932,0.0001039017,0.0001120079,0.0006564763,0.0007466302],"genre_scores_gemma":[0.1035997,0.0002145057,0.8936032,0.00007999457,0.00001604899,0.0005689647,0.0004716768,0.0004064622,0.001039539],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00789281,"threshold_uncertainty_score":0.04174161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4073043838961123,"score_gpt":0.4747554552943753,"score_spread":0.06745107139826301,"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."}}