{"id":"W2072931395","doi":"10.1503/cmaj.045275","title":"Of scrubs and rats","year":2005,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nice; Computer science; Medicine; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007011991,0.00004616748,0.00009554398,0.00006718167,0.00009681797,0.00002328868,0.00008074819,0.00008888642,0.001526979],"category_scores_gemma":[0.001108659,0.00004141092,0.00002701137,0.00005517239,0.00002846272,0.00007998632,0.000008485791,0.00030479,0.0000416765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001582117,"about_ca_system_score_gemma":0.0004074689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007053768,"about_ca_topic_score_gemma":0.003128758,"domain_scores_codex":[0.9990999,0.00007143675,0.0001962734,0.0000608708,0.0003998511,0.0001716802],"domain_scores_gemma":[0.9990308,0.0001193934,0.0001282701,0.00002892653,0.0001180607,0.0005745011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005089152,0.0000679572,0.3595231,0.00002024276,0.0002057017,0.0008731287,0.001920947,0.000004421498,0.001316163,0.003801781,0.1247978,0.5074179],"study_design_scores_gemma":[0.001218025,0.0005815938,0.3127865,0.0001922463,0.00002703453,0.002212059,0.0008160371,0.002254565,0.0001837059,0.0007744892,0.6786727,0.0002809997],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787953,0.0002082904,0.00002745331,0.01253947,0.0001227226,0.00001943533,0.000008195964,0.000008471487,0.008270662],"genre_scores_gemma":[0.9966481,0.00003671223,0.0004136534,0.001572548,0.0008637385,4.317718e-7,6.239055e-7,0.000005107199,0.0004590461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.553875,"threshold_uncertainty_score":0.9993858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05600120838923343,"score_gpt":0.3386553967544098,"score_spread":0.2826541883651764,"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."}}