{"id":"W1977642469","doi":"10.1371/journal.pmed.1001011","title":"How Can Institutional Review Boards Best Interpret Preclinical Data?","year":2011,"lang":"en","type":"letter","venue":"PLoS Medicine","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research; St. Michael's Hospital; University of Toronto","funders":"Sanofi Pasteur; Sanofi; Pfizer","keywords":"Harm; Context (archaeology); Research ethics; Clinical trial; Quality (philosophy); Psychological intervention; Set (abstract data type); Transparency (behavior); Consistency (knowledge bases); Limiting; Translational research; Medicine; Public relations; Engineering ethics; Psychology; Political science; Computer science; Social psychology; Law","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005322987,0.0004956923,0.001092739,0.0001126527,0.0001007035,0.0000250734,0.001572953,0.0003897906,0.001304946],"category_scores_gemma":[0.004856925,0.0003511013,0.0001062483,0.0001225019,0.0007666569,0.0001698827,0.0006436959,0.002653696,0.0002534181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007475141,"about_ca_system_score_gemma":0.0002014738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002839357,"about_ca_topic_score_gemma":0.00001196344,"domain_scores_codex":[0.9968897,0.0002860081,0.0006601859,0.000968919,0.0007853562,0.0004097935],"domain_scores_gemma":[0.9973232,0.0005909686,0.0003349877,0.001430477,0.00017797,0.0001424059],"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":[0.00004719788,0.00008197787,0.0001448413,0.003308051,0.0002513273,0.002307286,0.00009669417,2.732672e-9,0.00003120513,0.00003749224,0.9908307,0.002863186],"study_design_scores_gemma":[0.0003364067,0.00178987,0.00006599255,0.04232991,0.0006515749,0.0004844863,0.00001538003,0.00003770621,0.000003151868,0.0001320378,0.9537744,0.0003790752],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003809645,0.03321872,0.0001148854,0.9351774,0.001535518,0.0006484459,0.001020358,0.0002574648,0.02764621],"genre_scores_gemma":[0.008125081,0.01382217,0.001090288,0.9245477,0.03109862,0.0001047262,0.007034098,0.0001391648,0.01403813],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03902186,"threshold_uncertainty_score":0.9998941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5572405854060547,"score_gpt":0.465115065690535,"score_spread":0.09212551971551969,"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."}}