{"id":"W2360459367","doi":"","title":"Data Analysis on Food Poisoning in Xinxiang City from 1973 to 2004","year":2005,"lang":"en","type":"article","venue":"Literature and Information On Preventive","topic":"GABA and Rice Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Food poisoning; Quarter (Canadian coin); Environmental health; Medicine; Toxicology; Food science; Geography; Chemistry; Biology","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":[0.0005390879,0.0003038505,0.0003576783,0.00720275,0.0005450012,0.0004145684,0.0004160479,0.0002444185,0.001675377],"category_scores_gemma":[0.001587683,0.0002487824,0.0004601149,0.008166883,0.0002083727,0.0002772379,0.0004640491,0.0003299394,0.0003141818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002210018,"about_ca_system_score_gemma":0.002317554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1097441,"about_ca_topic_score_gemma":0.1333335,"domain_scores_codex":[0.9993636,0.0000615387,0.0001772899,0.00009599507,0.0001821442,0.0001194775],"domain_scores_gemma":[0.9973587,0.0002754785,0.001409639,0.000106943,0.0007048926,0.0001443029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001211682,0.00002168651,0.9915776,0.0001289008,0.00005639147,0.0002246419,0.0001776872,0.0002318621,0.0001977328,0.00002331276,0.001599298,0.005639707],"study_design_scores_gemma":[0.000003757028,0.00002920887,0.9975587,0.00001954557,0.00002592001,0.0001230747,0.000364538,0.0000926616,0.0001655403,0.000004683716,0.001607027,0.000005261009],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9499808,0.000738206,0.0001955753,0.0001114885,0.00001716069,0.0001038595,0.04690683,0.00003757459,0.001908451],"genre_scores_gemma":[0.9243451,0.001121513,0.0007182279,0.00009418248,0.0000219127,0.0002891278,0.07168891,0.000009238315,0.001711713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1097441,"threshold_uncertainty_score":0.2182106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01990241264574719,"score_gpt":0.2675608250036186,"score_spread":0.2476584123578714,"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."}}