{"id":"W2362293939","doi":"","title":"Comparing the results of two models in prediction of dysentery incidence","year":2013,"lang":"en","type":"article","venue":"Zhongguo redai yixue","topic":"Advanced Technologies in Various Fields","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Autoregressive integrated moving average; Dysentery; Beijing; Incidence (geometry); Quarter (Canadian coin); Shahid; Statistics; Mathematics; Geography; Medicine; Time series; China","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00603426,0.001491605,0.0009650519,0.001540521,0.0004120792,0.001384977,0.0009391915,0.0008749248,0.001777599],"category_scores_gemma":[0.01361056,0.0004358223,0.001687719,0.000910905,0.0002590505,0.001585351,0.0007711422,0.0008642903,0.0003596708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001053608,"about_ca_system_score_gemma":0.001280188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02407596,"about_ca_topic_score_gemma":0.01400055,"domain_scores_codex":[0.9974504,0.001201653,0.0001673454,0.0006138359,0.0003300817,0.000236731],"domain_scores_gemma":[0.9927476,0.005319463,0.0004582334,0.0003094171,0.0008861625,0.0002791721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002927304,0.0005793109,0.5114642,0.0002890408,0.001929386,0.0002857409,0.0003770964,0.3498651,0.001984356,0.001478946,0.002816181,0.1260034],"study_design_scores_gemma":[0.00005282794,0.0004305343,0.04570097,0.00003151082,0.0002237161,0.00007282834,0.0001939759,0.9510655,0.0006863725,0.0009236032,0.0005868725,0.00003130997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9350973,0.001695146,0.05822325,0.0006966855,0.0002449178,0.0000971398,0.0006487775,0.0006172766,0.002679438],"genre_scores_gemma":[0.9888392,0.0003066892,0.00884536,0.0000606883,0.00004993431,0.00003827629,0.0007491302,0.00003638575,0.001074246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02407596,"threshold_uncertainty_score":0.04787165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0353170746514214,"score_gpt":0.259349462311404,"score_spread":0.2240323876599826,"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."}}