{"id":"W4416751732","doi":"10.1177/02611929251398821","title":"Evaluating the translational value of preclinical models: Available tools and frameworks, challenges and strategies","year":2025,"lang":"en","type":"article","venue":"Alternatives to Laboratory Animals","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Canadian Council on Animal Care","funders":"","keywords":"Translational research; Relevance (law); Preclinical research; Value (mathematics); Animal model; Critical appraisal; Event (particle physics); Human research","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":[0.00120496,0.0002144085,0.0003290824,0.00008838651,0.000174355,0.0001258238,0.0002598577,0.0001128503,0.00004835705],"category_scores_gemma":[0.0006790948,0.0001647813,0.00004090935,0.0001777308,0.0003057523,0.0005339059,0.0001545789,0.0003580566,0.000006634194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001065715,"about_ca_system_score_gemma":0.0001357654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001920731,"about_ca_topic_score_gemma":0.000005796722,"domain_scores_codex":[0.9981204,0.000469552,0.0004414122,0.0004898082,0.0002633909,0.0002154713],"domain_scores_gemma":[0.9969091,0.002377613,0.0001713908,0.0002320499,0.000242332,0.00006750633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001334066,0.0001588185,0.002406413,0.0003109146,0.0003985747,0.0000132416,0.009767293,0.001207133,0.04222878,0.9098451,0.0001190101,0.03221063],"study_design_scores_gemma":[0.003088514,0.01368054,0.3362139,0.003489776,0.0003652193,0.00003388246,0.01784656,0.1098317,0.006210299,0.5041067,0.003658681,0.001474194],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9637465,0.02198404,0.001058411,0.001089034,0.00007755726,0.0003443006,0.0001193967,0.00006176791,0.01151896],"genre_scores_gemma":[0.988932,0.001146432,0.009385473,0.0002312543,0.0001068977,0.00004802597,0.000001705321,0.00001760334,0.0001306812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4057384,"threshold_uncertainty_score":0.6719585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.38950359181693,"score_gpt":0.4892614649835606,"score_spread":0.09975787316663065,"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."}}