{"id":"W4253177523","doi":"10.31219/osf.io/wr93f","title":"Z-Curve","year":2017,"lang":"en","type":"preprint","venue":"","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Replication (statistics); Statistical power; Selection (genetic algorithm); Statistics; Credibility; Power (physics); Econometrics; Selection bias; Psychology; Statistical significance; Computer science; Mathematics; Artificial intelligence; Physics; Political science","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":[],"category_scores_codex":[0.06227465,0.002723037,0.003466886,0.01335153,0.001604382,0.008969703,0.003820812,0.005006855,0.03649072],"category_scores_gemma":[0.3544699,0.001214858,0.006415777,0.01075848,0.004001699,0.008764635,0.005422819,0.00541588,0.01287483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00464944,"about_ca_system_score_gemma":0.00459106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006625211,"about_ca_topic_score_gemma":0.002709734,"domain_scores_codex":[0.9521635,0.02286678,0.004360631,0.008147772,0.01106354,0.001397908],"domain_scores_gemma":[0.7578819,0.1786666,0.01426154,0.01732082,0.02983129,0.002037814],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002073515,0.0001874944,0.03310785,0.008718888,0.003558999,0.0005881215,0.001855522,0.03462876,0.001372315,0.1640163,0.09454402,0.6553482],"study_design_scores_gemma":[0.0007614255,0.001083054,0.03113765,0.004683245,0.002169207,0.002883247,0.001675148,0.1085742,0.00465784,0.3988337,0.4428843,0.0006569381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0245444,0.03602435,0.8298749,0.009642415,0.002763444,0.003731224,0.01645164,0.01212714,0.06484047],"genre_scores_gemma":[0.4258547,0.01501386,0.4946191,0.006362567,0.001214965,0.009590593,0.01434599,0.008054249,0.02494388],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9377254,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9330619691372867,"score_gpt":0.6280268921371366,"score_spread":0.3050350770001501,"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."}}