{"id":"W6894097415","doi":"10.5281/zenodo.7293838","title":"A template README for social science replication packages","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Université du Québec à Montréal","funders":"","keywords":"Replication (statistics); Workflow; Code (set theory); File format; Research data","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":[],"category_scores_codex":[0.01241683,0.002554938,0.001840687,0.004826246,0.001477019,0.006552956,0.004622573,0.003946406,0.287793],"category_scores_gemma":[0.09385604,0.003729895,0.003516805,0.004320175,0.001101728,0.007465278,0.005574385,0.005100782,0.2096757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001854291,"about_ca_system_score_gemma":0.004430182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002160987,"about_ca_topic_score_gemma":0.001996148,"domain_scores_codex":[0.9932705,0.002380091,0.001449217,0.000986013,0.001497784,0.0004165076],"domain_scores_gemma":[0.9229369,0.04459722,0.002667765,0.0163583,0.01199089,0.001449007],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006544377,0.000133614,0.0008355168,0.001751593,0.00009444384,0.0003885722,0.001015317,0.001956145,0.00175133,0.02377164,0.8626432,0.1050042],"study_design_scores_gemma":[0.0003526478,0.00007113121,0.0007974416,0.0006851623,0.00004115628,0.000335445,0.0002053999,0.005686079,0.004781517,0.04300112,0.9438628,0.0001801636],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001005518,0.0001916046,0.5152274,0.001553439,0.001376498,0.001305234,0.09621809,0.3635223,0.01959993],"genre_scores_gemma":[0.01119252,0.0004334012,0.494039,0.002109415,0.0008616988,0.006055822,0.102392,0.3369389,0.04597738],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9875832,"threshold_uncertainty_score":0.9627635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2089632388069236,"score_gpt":0.3829298306417269,"score_spread":0.1739665918348033,"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."}}