{"id":"W3124536339","doi":"10.7717/peerj.10673","title":"Clinical relevance assessment of animal preclinical research (RAA) tool: development and explanation","year":2021,"lang":"en","type":"article","venue":"PeerJ","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Ottawa Hospital; University of Ottawa","funders":"","keywords":"Preclinical research; Relevance (law); Translational research; Medicine; Delphi method; Clinical trial; Research design; Transparency (behavior); Delphi; Medical physics; Psychology; Pathology; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.00242488,0.0000788838,0.0002159555,0.00004021687,0.00009692757,0.00002747437,0.000107591,0.00006555243,0.00006970468],"category_scores_gemma":[0.002564928,0.00007470449,0.00004110091,0.000121703,0.0001261181,0.00008353165,0.0002122087,0.0003465635,0.00001733884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000323383,"about_ca_system_score_gemma":0.0002285404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008816528,"about_ca_topic_score_gemma":0.000006190356,"domain_scores_codex":[0.9980982,0.0003949892,0.0005176775,0.000365113,0.0004358648,0.00018814],"domain_scores_gemma":[0.9974043,0.001917556,0.0001037822,0.0001776225,0.000334522,0.00006216353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008346445,0.001044815,0.7669405,0.0002569902,0.0001469824,0.0004891284,0.001038176,0.00000303997,0.02730309,0.01281729,0.002418558,0.1867068],"study_design_scores_gemma":[0.000432879,0.001190258,0.9816296,0.000123518,0.000006735106,0.00003733402,0.0002565086,0.001315497,0.001577969,0.0004387952,0.01287858,0.0001123996],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930439,0.0002373793,0.000378033,0.0003879966,0.00009744037,0.00008008702,0.000005492876,0.00003582735,0.005733874],"genre_scores_gemma":[0.9463422,0.00009212246,0.05251567,0.00002987438,0.0001400368,0.00001192084,0.00001126842,0.00001077856,0.0008461786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.214689,"threshold_uncertainty_score":0.3070644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6608446415531255,"score_gpt":0.6178231938558502,"score_spread":0.04302144769727534,"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."}}