{"id":"W3162211911","doi":"10.31234/osf.io/urgtn","title":"Z-Curve 2.0: Estimating Replication Rates and Discovery Rates","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Replication (statistics); Confidence interval; False discovery rate; Selection (genetic algorithm); Statistics; False positive paradox; Multiple comparisons problem; Computer science; Range (aeronautics); Extension (predicate logic); Econometrics; Mathematics; Artificial intelligence; Biology; Engineering","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003379168,0.0003682369,0.001085557,0.00004567106,0.00007880101,0.0003686439,0.0003528314,0.0004006306,0.000151248],"category_scores_gemma":[0.3009652,0.0002980056,0.0001510878,0.0001078423,0.0001849766,0.00009914986,0.001312949,0.0008230063,0.00002909244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004080796,"about_ca_system_score_gemma":0.0000955945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003524028,"about_ca_topic_score_gemma":0.000003644942,"domain_scores_codex":[0.9961116,0.0008232045,0.001333913,0.001183867,0.0003053665,0.000242042],"domain_scores_gemma":[0.940866,0.0568951,0.0007353607,0.001201584,0.0001338059,0.0001681422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001551061,0.0002175831,0.002121293,0.004470698,0.0004599588,0.00002128272,0.0005314289,0.00004275489,0.0008995952,0.9237765,0.01905886,0.04824491],"study_design_scores_gemma":[0.0002533953,0.00004838019,0.0006036334,0.0003316271,0.000165208,0.000002330417,0.00003133276,0.02328195,0.002015495,0.9728748,0.00006105095,0.0003308062],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007418945,0.00007231993,0.9821845,0.004710577,0.0008843412,0.001062373,0.0001738406,0.0003148291,0.003178294],"genre_scores_gemma":[0.01541293,0.00004614999,0.9827123,0.0003501649,0.000711697,0.0001470674,0.00002364585,0.00006499072,0.0005311028],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2975861,"threshold_uncertainty_score":0.9999472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6573930739385597,"score_gpt":0.6101719849647902,"score_spread":0.04722108897376953,"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."}}