{"id":"W3209062033","doi":"10.5281/zenodo.4319999","title":"A template README for social science replication packages","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Université du Québec à Montréal","funders":"","keywords":"Replication (statistics); Computer science; Biology; Virology","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","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.006892371,0.00009645534,0.000132816,0.0002929995,0.004609362,0.003399043,0.003024239,0.00002845877,0.002240355],"category_scores_gemma":[0.01338775,0.00008767095,0.00005983269,0.002299855,0.0003605848,0.0005138674,0.002255316,0.0001106809,0.006191209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007390312,"about_ca_system_score_gemma":0.000008015974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003059602,"about_ca_topic_score_gemma":5.157337e-8,"domain_scores_codex":[0.9966949,0.0001897661,0.0003850315,0.001157787,0.001220493,0.000352063],"domain_scores_gemma":[0.9972669,0.0001065793,0.0001967231,0.000991437,0.001228924,0.0002094756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003790907,0.00003200474,0.000003865736,0.00001072516,0.000005436032,0.000001308837,0.001590289,0.0000220679,0.00528445,0.01213711,0.68607,0.2948048],"study_design_scores_gemma":[0.0002521277,0.0001127126,0.0009094705,0.000003868136,0.00000583258,0.000006667935,0.0007186995,0.004996881,0.000636465,0.001600743,0.9906459,0.0001105637],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05693493,0.00005691008,0.4563666,0.04964232,0.0008951103,0.002539036,0.001251411,0.00296791,0.4293458],"genre_scores_gemma":[0.9957724,0.000003042576,0.001273006,0.0006971468,0.0002589655,8.125418e-8,0.0004204212,0.0002834297,0.001291518],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9388375,"threshold_uncertainty_score":0.9986717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2775398297704858,"score_gpt":0.3872461845263674,"score_spread":0.1097063547558816,"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."}}