{"id":"W2272033918","doi":"10.1177/0192623315624165","title":"STP Best Practices for Evaluating Clinical Pathology in Pharmaceutical Recovery Studies","year":2016,"lang":"en","type":"article","venue":"Toxicologic Pathology","topic":"Immunotoxicology and immune responses","field":"Immunology and Microbiology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nuclear Laboratories","funders":"American Society for Veterinary Clinical Pathology","keywords":"Clinical pathology; Medicine; Dosing; Clinical trial; Toxicity; Pathology; Hematology; Anatomical pathology; Intensive care medicine; Internal medicine","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":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008099014,0.0004735486,0.001355131,0.0003695123,0.0003572374,0.00001172376,0.0006335655,0.001613675,0.0006613415],"category_scores_gemma":[0.0344127,0.0003207793,0.0003314499,0.000235132,0.002263712,0.0002865129,0.000436258,0.00088309,0.0011926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001964557,"about_ca_system_score_gemma":0.0003353594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005585658,"about_ca_topic_score_gemma":0.00004545106,"domain_scores_codex":[0.9897968,0.00609646,0.001555481,0.00115047,0.00006259851,0.001338216],"domain_scores_gemma":[0.9818641,0.01607788,0.001101285,0.0006275395,0.0002812298,0.00004794566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006323793,0.001389239,0.01044142,0.00003874043,0.0003891616,0.0003926542,0.0002661509,0.00000283363,0.7809101,0.001339316,0.002084811,0.1964218],"study_design_scores_gemma":[0.06884506,0.07590936,0.1213926,0.0007035484,0.001644019,0.01255327,0.006189236,0.00003574264,0.3592245,0.02917491,0.3205324,0.003795399],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9658049,0.02200837,0.0004957913,0.004332121,0.005028767,0.00130475,0.00006721343,0.0001517964,0.0008062774],"genre_scores_gemma":[0.9777889,0.006111987,0.001751551,0.002460276,0.000156329,0.001083655,0.00003258674,0.00004716863,0.01056751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4216856,"threshold_uncertainty_score":0.9999244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4005860264045791,"score_gpt":0.5338445495045514,"score_spread":0.1332585230999723,"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."}}