{"id":"W2522856199","doi":"10.1371/journal.pone.0162874","title":"Prediction Interval: What to Expect When You’re Expecting … A Replication","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"University of Guelph","keywords":"Replication (statistics); Interval (graph theory); Computer science; Computational biology; Biology; Statistics; Mathematics; Combinatorics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.4660541,0.002023599,0.005333859,0.005044043,0.002723963,0.009163831,0.005749393,0.007780695,0.006452209],"category_scores_gemma":[0.8566496,0.001935086,0.008536191,0.004821325,0.006956169,0.01206903,0.005393651,0.01037998,0.002481945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00297971,"about_ca_system_score_gemma":0.005510936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001807291,"about_ca_topic_score_gemma":0.0009497844,"domain_scores_codex":[0.4537117,0.3816701,0.06851527,0.03570354,0.05816435,0.002235057],"domain_scores_gemma":[0.1091331,0.7098736,0.05432676,0.07754938,0.04699418,0.00212294],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006402365,0.0004670062,0.07239997,0.03809081,0.01991705,0.00147839,0.01412574,0.01214708,0.003798827,0.1396809,0.1068466,0.5846454],"study_design_scores_gemma":[0.003198399,0.004183293,0.0528604,0.03947694,0.01431237,0.002563793,0.005378081,0.05046778,0.009789071,0.6715252,0.1447346,0.001509981],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03006882,0.02237107,0.8339097,0.05224968,0.01918966,0.01028736,0.004643858,0.005370453,0.02190944],"genre_scores_gemma":[0.4620292,0.003942795,0.4753661,0.02073263,0.004107423,0.02775127,0.002775771,0.001319022,0.001975847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5339459,"threshold_uncertainty_score":0.6584504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.838098765792967,"score_gpt":0.4797304780176783,"score_spread":0.3583682877752888,"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."}}