{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01248988,0.001564211,0.003495032,0.004354118,0.0006019311,0.003548545,0.004039645,0.003180149,0.003534237],"category_scores_gemma":[0.01649985,0.001075285,0.001055439,0.004105082,0.004839272,0.00464891,0.002919698,0.004501387,0.001835094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002377434,"about_ca_system_score_gemma":0.003618168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002093155,"about_ca_topic_score_gemma":0.002652627,"domain_scores_codex":[0.9958543,0.001215226,0.000318364,0.0004587513,0.001962942,0.0001904802],"domain_scores_gemma":[0.9810477,0.01451297,0.0009917635,0.0008097866,0.002338967,0.0002988104],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004999641,0.00005521472,0.0002219304,0.01270346,0.0001499002,0.0001298987,0.00007806056,0.00104798,0.001743997,0.02923186,0.01760365,0.9369842],"study_design_scores_gemma":[0.00004631938,0.0001468133,0.0007935581,0.005746671,0.0002914744,0.0009186885,0.0001012766,0.001655662,0.004881592,0.05169127,0.9336344,0.00009226866],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001404596,0.9913853,0.005601484,0.001015495,0.0004028052,0.00001877485,0.00002667089,0.00004860682,0.001360342],"genre_scores_gemma":[0.002672068,0.988432,0.006465954,0.0009015916,0.0006780078,0.00004187959,0.00005313038,0.00002183477,0.0007335992],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9875101,"threshold_uncertainty_score":0.06605363,"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."}}