{"id":"W1828435734","doi":"","title":"Benchmark Simulation Model No 2 - General Protocol and Advances in Modelling Application","year":2008,"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":"Université Laval","funders":"","keywords":"Benchmark (surveying); Computer science; Protocol (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"],"consensus_categories":[],"category_scores_codex":[0.006378886,0.0003901693,0.0005001855,0.0005061401,0.0004180305,0.0004663105,0.001306967,0.0004041315,0.00005592874],"category_scores_gemma":[0.00146772,0.0003848695,0.0001680694,0.0007768376,0.0002411466,0.0005371669,0.001007055,0.0006148708,0.00004050645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001369516,"about_ca_system_score_gemma":0.0002460565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003562018,"about_ca_topic_score_gemma":0.0002509039,"domain_scores_codex":[0.9938471,0.00195585,0.001370839,0.001419792,0.001065384,0.0003410772],"domain_scores_gemma":[0.9909329,0.002354319,0.0009913181,0.002322299,0.003219399,0.0001797265],"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":[0.00001846145,0.000224189,0.001355398,0.00004315664,0.000005269615,5.003042e-7,0.001299876,0.8963917,0.0001787609,0.03025872,0.0002004775,0.07002353],"study_design_scores_gemma":[0.000355784,3.415296e-7,0.0003772602,0.0002181354,0.00000646059,0.000001564222,0.00001657429,0.8763992,0.0009066006,0.09590814,0.02548658,0.000323366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01361924,0.0001950858,0.9385688,0.001111137,0.00003589,0.01669491,0.00005102328,0.0002017949,0.02952216],"genre_scores_gemma":[0.7060343,0.0006704439,0.2587597,0.0001093677,0.00005153686,0.0297025,0.0002797993,0.00005991839,0.004332459],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6924151,"threshold_uncertainty_score":0.9998603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05195863723057009,"score_gpt":0.3516766792480495,"score_spread":0.2997180420174794,"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."}}