{"id":"W2126632863","doi":"10.5334/jopd.ad","title":"Data from Investigating Variation in Replicability: A “Many Labs” Replication Project","year":2014,"lang":"en","type":"article","venue":"Journal of Open Psychology Data","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; Mount Saint Vincent University","funders":"","keywords":"Generalizability theory; Replication (statistics); Computer science; Variation (astronomy); Open science; Class (philosophy); Data science; Psychology; World Wide Web; Statistics; Artificial intelligence; Mathematics","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","open_science"],"consensus_categories":[],"category_scores_codex":[0.008997248,0.0001412711,0.0004538735,0.0001539186,0.00004742866,0.000108691,0.005733593,0.0001493427,0.00005843069],"category_scores_gemma":[0.01962874,0.0001237202,0.00001826791,0.0003123708,0.00007523331,0.002382169,0.002254166,0.0005466373,0.000009248767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000587807,"about_ca_system_score_gemma":0.0001289062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001489743,"about_ca_topic_score_gemma":0.0002258835,"domain_scores_codex":[0.9970562,0.000568089,0.001184872,0.0007853938,0.0002254901,0.0001799801],"domain_scores_gemma":[0.9892833,0.001032658,0.001489623,0.007969753,0.0001650692,0.0000596545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007360284,0.002486791,0.04952545,0.000165116,0.0003756205,0.0000556941,0.002749345,0.00001093696,0.08802546,0.07345162,0.6567962,0.1256217],"study_design_scores_gemma":[0.001039011,0.0002181604,0.03103574,0.0002612344,0.00006397165,0.00009370324,0.00007695537,0.00538173,0.0002818501,0.9372022,0.02413275,0.0002127561],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3646005,0.00008886102,0.6174285,0.009285823,0.0003824449,0.001747152,0.001007633,0.0001253203,0.005333799],"genre_scores_gemma":[0.1653585,0.00005495549,0.8324065,0.001183707,0.0002591602,0.00002282758,0.0006536737,0.00003581443,0.00002488167],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8637505,"threshold_uncertainty_score":0.9996459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6351073594100903,"score_gpt":0.5925521228023779,"score_spread":0.04255523660771243,"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."}}