{"id":"W2939528010","doi":"10.1371/journal.pbio.3000188","title":"Exact replication: Foundation of science or game of chance?","year":2019,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University and Génome Québec Innovation Centre","funders":"","keywords":"Replication (statistics); Sample size determination; Biology; Statistical power; Statistical hypothesis testing; Sample (material); Computer science; Meta-analysis; Bayesian probability; Statistics; Artificial intelligence; Mathematics; Medicine; Physics","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":[0.0001781707,0.00004118056,0.0001136054,0.00005598471,0.00001805387,0.000002042802,0.0001707535,0.00002271363,0.0002677139],"category_scores_gemma":[0.0003379688,0.00003000773,0.00001489579,0.0001508938,0.0003387694,0.00006046616,0.00005308249,0.00003224657,0.00006973337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001121908,"about_ca_system_score_gemma":0.00004102162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000289725,"about_ca_topic_score_gemma":6.581483e-7,"domain_scores_codex":[0.9994869,0.00002659284,0.0001417649,0.0002041477,0.00005368474,0.00008690012],"domain_scores_gemma":[0.9993408,0.000110845,0.0001677073,0.0002645964,0.0001026087,0.00001338974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001339515,0.00004793617,0.02595018,0.00003029312,0.000007221203,3.643041e-7,0.0002069377,3.676995e-7,0.9665241,0.003879843,0.000003026994,0.003215741],"study_design_scores_gemma":[0.0008092787,0.01108849,0.302293,0.0002474969,0.00002093782,0.00006372666,0.0003829907,0.004793594,0.6722097,0.005741305,0.002062314,0.00028707],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955447,0.00002220428,0.0001204209,0.00005037052,0.00006514391,0.00009046256,0.000004822811,0.00002079451,0.004081034],"genre_scores_gemma":[0.9988098,0.000009918648,0.000841642,0.00001822325,0.00003597646,0.000005099069,0.000005029284,0.000003343941,0.0002709593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2943144,"threshold_uncertainty_score":0.2931279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2389778862985561,"score_gpt":0.4352359955276607,"score_spread":0.1962581092291046,"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."}}