{"id":"W4398909948","doi":"10.7910/dvn/w4b8mb/7ohail","title":"Replication.tar.gz","year":2018,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Replication (statistics); tar (computing); Biology; Computer science; Virology; Programming language","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004032537,0.003132831,0.002500438,0.005776579,0.002545881,0.004328634,0.005098425,0.002138476,0.3095855],"category_scores_gemma":[0.01835673,0.001682302,0.002523144,0.007457858,0.0007719351,0.003182352,0.003887823,0.003206273,0.3578126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001690332,"about_ca_system_score_gemma":0.005005416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01412274,"about_ca_topic_score_gemma":0.01875377,"domain_scores_codex":[0.9974672,0.000457257,0.000387019,0.0008125765,0.0004892742,0.0003867139],"domain_scores_gemma":[0.9877417,0.002743062,0.0006848802,0.004509799,0.003378195,0.0009424516],"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":[0.00008439815,0.00002046187,0.0002482019,0.000415969,0.00002520088,0.000008509487,0.00002769903,0.00005557096,0.0001562057,0.0003095825,0.9975834,0.00106481],"study_design_scores_gemma":[0.0005576539,0.00003766135,0.001940949,0.0002636952,0.00005071065,0.00004894179,0.000112935,0.0003119698,0.001209194,0.0025973,0.9928135,0.00005546857],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006886747,0.0000254591,0.0001567157,0.00008025235,0.00005708388,0.00002574329,0.9968386,0.002083929,0.0006633276],"genre_scores_gemma":[0.00032205,0.00003344658,0.0006508153,0.00005935329,0.00002202465,0.000163448,0.9967127,0.001012069,0.001024108],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6904145,"threshold_uncertainty_score":0.9847925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.112803427575757,"score_gpt":0.3753981415091731,"score_spread":0.262594713933416,"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."}}