{"id":"W2607502023","doi":"10.1038/laban.1260","title":"Response to Protocol Review Scenario: Before the amendment","year":2017,"lang":"en","type":"letter","venue":"Lab Animal","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Protocol (science); Amendment; Computer science; Medicine; Law; Political science; Alternative 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.03863846,0.001997596,0.003672577,0.002380404,0.01166849,0.01635477,0.006422215,0.1916718,0.02392846],"category_scores_gemma":[0.1582093,0.002646862,0.005179239,0.002187509,0.007332379,0.006611358,0.005531213,0.08520696,0.02898243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02086761,"about_ca_system_score_gemma":0.04571599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02452751,"about_ca_topic_score_gemma":0.03696334,"domain_scores_codex":[0.9614238,0.01124169,0.005538299,0.003252769,0.00952332,0.009020101],"domain_scores_gemma":[0.9280451,0.04279922,0.004603416,0.00237466,0.01532829,0.006849291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001245558,0.0000440836,0.000244526,0.0001254583,0.00003013422,0.0009567297,0.0003836407,0.0001029165,0.0002676873,0.005388967,0.990384,0.001947361],"study_design_scores_gemma":[0.0003114075,0.0001239774,0.001155798,0.001202728,0.00009642927,0.0004603806,0.001426194,0.001014673,0.0005044665,0.01343839,0.9800698,0.0001957726],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0009239659,0.0004689798,0.0007565606,0.9435654,0.03430422,0.0009671198,0.000924318,0.0003704028,0.01771901],"genre_scores_gemma":[0.002316005,0.0002048071,0.0004895738,0.969255,0.008685859,0.0009137596,0.0001190125,0.0000803424,0.01793575],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.8083282,"threshold_uncertainty_score":0.2043421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1817864965730937,"score_gpt":0.4479270221939247,"score_spread":0.266140525620831,"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."}}