{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00984062,0.0003687029,0.0004888925,0.0007682185,0.000432856,0.001651103,0.006937901,0.0002189431,0.1905636],"category_scores_gemma":[0.01398736,0.0002945142,0.0002003222,0.00124519,0.0003186237,0.0005506219,0.004149613,0.0003164572,0.8274199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001099815,"about_ca_system_score_gemma":0.0001756056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004179367,"about_ca_topic_score_gemma":0.0002397903,"domain_scores_codex":[0.9923126,0.0002895435,0.001139063,0.002933997,0.002826623,0.0004982483],"domain_scores_gemma":[0.9782329,0.0007222231,0.000782327,0.01948071,0.0005113996,0.000270428],"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":[0.00001392416,0.00006629014,0.000005020061,0.00001118205,0.00002875037,0.00002509878,0.0000153836,0.000005696405,0.00000110282,0.00006086631,0.9956802,0.004086473],"study_design_scores_gemma":[0.0001971499,0.00003570312,0.00006988242,0.00003626207,0.00006159764,0.00001098166,0.00006320814,0.000310558,0.00000497588,0.0008243284,0.9980432,0.0003420961],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001808671,4.788714e-7,0.0007919658,0.00002723402,0.004828134,0.0003278513,0.9923645,0.00009984621,0.001541852],"genre_scores_gemma":[0.000005310569,0.00003247624,0.001137447,0.0008560114,0.0008054079,0.00002042263,0.9885221,0.00001459915,0.008606295],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6368564,"threshold_uncertainty_score":0.9999507,"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."}}