{"id":"W3112901974","doi":"10.1002/sim.8848","title":"Mean comparisons and power calculations to ensure reproducibility in preclinical drug discovery","year":2020,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"AstraZeneca (Canada)","funders":"","keywords":"Reproducibility; Sample size determination; Statistical power; Statistics; Computer science; Power analysis; Statistical hypothesis testing; Power (physics); Sample (material); Multiple comparisons problem; Data mining; False discovery rate; Reliability engineering; Mathematics; Algorithm; Chemistry","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.08359063,0.002204606,0.001903659,0.004193762,0.001242169,0.002619777,0.003698742,0.002635114,0.007747314],"category_scores_gemma":[0.2519857,0.0008328775,0.002521269,0.003896442,0.004323175,0.002774253,0.003011732,0.00513291,0.002285831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001622576,"about_ca_system_score_gemma":0.003306978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003657366,"about_ca_topic_score_gemma":0.000497168,"domain_scores_codex":[0.8948295,0.06980361,0.007162875,0.006123572,0.02114309,0.0009372679],"domain_scores_gemma":[0.8192377,0.1292932,0.01344838,0.0221781,0.01520166,0.0006410459],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001477027,0.0004544146,0.004481021,0.003770507,0.0007614564,0.0005685397,0.002304376,0.01955024,0.01347068,0.2251697,0.01983529,0.7081569],"study_design_scores_gemma":[0.001065332,0.007712074,0.02133329,0.003007483,0.00120678,0.003233805,0.001284574,0.144926,0.07292785,0.572141,0.170417,0.0007449136],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001594598,0.0003854301,0.9944898,0.0001930413,0.0001721739,0.001120633,0.0001214085,0.0003757115,0.001547281],"genre_scores_gemma":[0.0338148,0.0004965657,0.9569361,0.0002294699,0.0002327403,0.006671796,0.00016683,0.0004483052,0.001003426],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9164094,"threshold_uncertainty_score":0.4420748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2575619557973964,"score_gpt":0.4845432090676691,"score_spread":0.2269812532702726,"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."}}