{"id":"W1706064092","doi":"10.1038/nrd4737","title":"Tackling reproducibility in academic preclinical drug discovery","year":2015,"lang":"en","type":"review","venue":"Nature Reviews Drug Discovery","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":85,"is_retracted":false,"has_abstract":false,"ca_institutions":"Structural Genomics Consortium","funders":"","keywords":"Reproducibility; Suspect; Drug discovery; Preclinical research; Translational research; Drug; Medicine; Data science; Computer science; Pharmacology; Medical physics; Bioinformatics; Psychology; Chemistry; Biology; Pathology","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"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.01351707,0.001248467,0.004881911,0.0003198763,0.00006674603,0.0002108505,0.001868751,0.002426027,0.00001201572],"category_scores_gemma":[0.007499366,0.0009423877,0.002685195,0.0009749631,0.0002350538,0.0001113571,0.001381677,0.005177272,0.00006996536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003356164,"about_ca_system_score_gemma":0.001066882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003431355,"about_ca_topic_score_gemma":0.0001517959,"domain_scores_codex":[0.9885666,0.002236859,0.003206868,0.004631139,0.0006029572,0.0007555207],"domain_scores_gemma":[0.9914007,0.0001945455,0.001659318,0.006362254,0.0001654432,0.0002177285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004345979,0.0002887188,0.0002092302,0.01641591,0.0002479661,0.00003015262,0.00003288104,0.000001866126,0.00009377163,0.00002707068,0.1640144,0.8185946],"study_design_scores_gemma":[0.0001741342,0.00002768961,0.000005328217,0.01204475,0.0009527734,0.00002858698,0.000009583393,0.000001142574,0.0003035127,0.0001338264,0.9853547,0.0009640148],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002192465,0.9950981,0.00006766861,0.00007837031,0.0003382569,0.002867824,0.00007908542,0.00005236343,0.001199118],"genre_scores_gemma":[0.0001137626,0.9853157,0.000397018,0.0003909421,0.001735514,0.0004815279,0.002257926,0.0001662312,0.009141393],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8213403,"threshold_uncertainty_score":0.9993027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04602207331125799,"score_gpt":0.4217033437815683,"score_spread":0.3756812704703103,"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."}}