{"id":"W4398972229","doi":"10.7910/dvn/q20fb7/5gmxkq","title":"unveiling_replication.tar.gz","year":2020,"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":"McGill University","funders":"","keywords":"Replication (statistics); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002661672,0.002835331,0.00168409,0.004305291,0.001524998,0.005509068,0.003853134,0.002577943,0.1974195],"category_scores_gemma":[0.0131052,0.001104244,0.002173117,0.006221048,0.0008446943,0.003200108,0.003931479,0.002214165,0.188096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001658942,"about_ca_system_score_gemma":0.00283234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01786218,"about_ca_topic_score_gemma":0.02660392,"domain_scores_codex":[0.9979836,0.0004072189,0.0001958852,0.000567511,0.0004744356,0.0003712675],"domain_scores_gemma":[0.9949721,0.001267362,0.0002703647,0.002091247,0.0009246106,0.0004743492],"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":[0.00005957526,0.0000125126,0.0004010738,0.00043989,0.00003412559,0.00001089644,0.0000292183,0.0001975434,0.0001106984,0.001120676,0.9959346,0.001649097],"study_design_scores_gemma":[0.0002978063,0.00001725117,0.001212543,0.0002761925,0.00002590903,0.00003303482,0.00006595591,0.0006873328,0.0006441542,0.003939332,0.9927688,0.00003180013],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000127054,0.00007857751,0.0002272343,0.0001563076,0.00009913605,0.00001778325,0.9937849,0.003384733,0.002124188],"genre_scores_gemma":[0.0009927081,0.0001114399,0.0009918234,0.0001494899,0.00003195096,0.0001152648,0.9951202,0.001314599,0.001172446],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9973384,"threshold_uncertainty_score":0.6604339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1075752198233478,"score_gpt":0.3568144847342718,"score_spread":0.249239264910924,"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."}}