{"id":"W2891855634","doi":"10.1177/0300985818798121","title":"Observational Study Design in Veterinary Pathology, Part 2: Methodology","year":2018,"lang":"en","type":"article","venue":"Veterinary Pathology","topic":"Microbial infections and disease research","field":"Immunology and Microbiology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Guelph","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Natural Sciences and Engineering Research Council of Canada","keywords":"Observational study; Blinding; Pathology; Medicine; Grading (engineering); Population; Medical physics; Environmental health; Biology; Randomized controlled trial","routes":{"ca_aff":true,"ca_fund":true,"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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002592198,0.000338642,0.0006024312,0.0005878612,0.000355752,0.00001940499,0.000420265,0.0004993111,0.003386807],"category_scores_gemma":[0.000447732,0.0003301868,0.0001188727,0.00051594,0.0009979821,0.0001591391,0.0005176603,0.0005519527,0.001815713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007785157,"about_ca_system_score_gemma":0.0001649039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009615069,"about_ca_topic_score_gemma":0.00003192468,"domain_scores_codex":[0.9911095,0.006439508,0.0006476842,0.0008714607,0.00005339153,0.0008784041],"domain_scores_gemma":[0.9981037,0.0008515347,0.0001368205,0.0006725825,0.0001730318,0.00006237149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001879419,0.001706517,0.01425627,0.00001963942,0.0001038209,0.003554805,0.0009710272,0.00001294109,0.9688622,0.0004477818,0.003370883,0.004814734],"study_design_scores_gemma":[0.01464992,0.08622963,0.6385779,0.0001121563,0.0002067852,0.04107705,0.002804768,0.00007546946,0.02114626,0.003740957,0.1891891,0.002190047],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927316,0.0006932199,0.002739369,0.0001854862,0.001905633,0.0008861535,0.00006202467,0.0001353628,0.0006611198],"genre_scores_gemma":[0.9950694,0.00007060552,0.002778459,0.0004253631,0.0001915996,0.0003698407,0.000116976,0.00003972309,0.0009380105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9477159,"threshold_uncertainty_score":0.999915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.436170771412223,"score_gpt":0.4293216625464238,"score_spread":0.006849108865799203,"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."}}