{"id":"W3033961098","doi":"10.1145/3277001","title":"Replication Package for Paper","year":2018,"lang":"en","type":"dataset","venue":"Artifact Digital Object Group","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01036329,0.003145251,0.003386127,0.01568169,0.002575717,0.009198026,0.005582588,0.001988293,0.6741151],"category_scores_gemma":[0.1085918,0.002231791,0.004406723,0.01914505,0.001942029,0.003763783,0.005223155,0.004365011,0.4968045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001871102,"about_ca_system_score_gemma":0.009627399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009613746,"about_ca_topic_score_gemma":0.01429004,"domain_scores_codex":[0.9904038,0.001903355,0.001811578,0.002934703,0.001901367,0.001045294],"domain_scores_gemma":[0.9282377,0.01830104,0.003121136,0.03517691,0.01230391,0.002859273],"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":[0.00009659318,0.0000281073,0.000315194,0.0007860826,0.00008382931,0.00001649562,0.00005736349,0.00008485394,0.0001164882,0.0009040227,0.9936066,0.003904374],"study_design_scores_gemma":[0.0006422977,0.00003152729,0.001906284,0.0006133242,0.00009820324,0.00005260483,0.0001535272,0.0003000349,0.0004884056,0.006646599,0.9890008,0.00006638683],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001553928,0.00003995222,0.001307903,0.0003086749,0.0007482342,0.0003503076,0.9872837,0.005923032,0.003882745],"genre_scores_gemma":[0.003112648,0.0001763239,0.008808953,0.0004784585,0.0003840956,0.004950124,0.9563014,0.01086853,0.01491935],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9896367,"threshold_uncertainty_score":0.4648352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09313928216993124,"score_gpt":0.3772842686872945,"score_spread":0.2841449865173633,"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."}}