{"id":"W4398264294","doi":"10.7910/dvn/6me9uj/vnefbx","title":"readme.txt","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001799579,0.003148509,0.002010667,0.005447825,0.001203689,0.005841393,0.003920502,0.002659219,0.4178617],"category_scores_gemma":[0.01197067,0.001171295,0.001631086,0.009043172,0.0006879531,0.003813238,0.004188912,0.002542598,0.5224056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001592545,"about_ca_system_score_gemma":0.002117416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01318338,"about_ca_topic_score_gemma":0.02178613,"domain_scores_codex":[0.9984036,0.0002829871,0.0002012432,0.0004952682,0.0002802624,0.0003365844],"domain_scores_gemma":[0.9946119,0.001291352,0.0003733739,0.001814357,0.001230258,0.0006788266],"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":[0.00002289816,0.000007158468,0.0001208491,0.000195174,0.00000760573,0.000004010909,0.00000971904,0.00003617641,0.0000265148,0.000235232,0.9985517,0.0007830187],"study_design_scores_gemma":[0.0001860165,0.00001589276,0.001123658,0.0002306181,0.00001103419,0.00002137157,0.00006669296,0.0001739545,0.0002139422,0.001719654,0.996217,0.0000200988],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002606267,0.00001925551,0.00003695999,0.00007453872,0.00004046498,0.000008467979,0.9977297,0.0008424809,0.00122206],"genre_scores_gemma":[0.0002125103,0.00003702311,0.000175806,0.00008883503,0.00002162499,0.00006120396,0.9976682,0.0004436772,0.001291104],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5821383,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07408033345831098,"score_gpt":0.3232643402341814,"score_spread":0.2491840067758704,"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."}}