{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2974139,0.002169636,0.007214302,0.003685299,0.003337405,0.008390247,0.005657475,0.01042356,0.01351204],"category_scores_gemma":[0.5320204,0.001693444,0.003698535,0.003059387,0.04086788,0.01951188,0.008633173,0.01234123,0.002499955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005429571,"about_ca_system_score_gemma":0.009610791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003525006,"about_ca_topic_score_gemma":0.001681452,"domain_scores_codex":[0.7469744,0.1767721,0.01250422,0.03287512,0.02786076,0.00301328],"domain_scores_gemma":[0.367641,0.5113807,0.02141477,0.08263175,0.01448177,0.002450014],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004147801,0.00006006043,0.002447621,0.0026,0.001048786,0.0004349012,0.001580416,0.002488935,0.0003605303,0.9012624,0.01123572,0.07606584],"study_design_scores_gemma":[0.0001278561,0.0001158645,0.0004572636,0.0006581756,0.0001107151,0.0002240547,0.000124646,0.002936377,0.0001976245,0.9803231,0.01466288,0.00006158374],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005259321,0.03408317,0.7960287,0.1153662,0.01382261,0.001414951,0.0009452474,0.0006561971,0.03242353],"genre_scores_gemma":[0.3910076,0.0242296,0.4917842,0.05197574,0.02014063,0.01099147,0.0007735534,0.000760022,0.008337057],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7025862,"threshold_uncertainty_score":0.8664138,"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."}}