{"id":"W4398910617","doi":"10.7910/dvn/q20fb7/pvwkjf","title":"unveiling_replication.Rproj","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001852933,0.000262626,0.0002823951,0.0001531749,0.0001144135,0.0004837125,0.003165198,0.0001645425,0.002244988],"category_scores_gemma":[0.0003494607,0.0002617122,0.00009271665,0.0005582896,0.00005244738,0.0005680711,0.001391398,0.0002895603,0.3350931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004572696,"about_ca_system_score_gemma":0.0002505295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004155077,"about_ca_topic_score_gemma":0.00001036669,"domain_scores_codex":[0.9980911,0.00006173265,0.0003590223,0.0007905049,0.0004563491,0.0002412954],"domain_scores_gemma":[0.9965547,0.00005251366,0.0002501761,0.002817102,0.0001016961,0.0002238632],"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":[0.000002159877,0.00004700326,8.530548e-7,0.00005971712,0.00002747176,0.00003629454,0.00001136861,0.00000365404,0.000003151024,0.002198267,0.9970156,0.0005944735],"study_design_scores_gemma":[0.0001523995,0.00003343411,0.000002564442,0.00002941397,0.00003549397,0.000008693411,0.000004835166,0.00511268,0.00001607058,0.00009794068,0.9942117,0.0002948074],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[5.02072e-8,5.625944e-7,0.06694969,0.00006509913,0.000410827,0.0001378998,0.9320934,0.0002009445,0.000141501],"genre_scores_gemma":[0.000001208945,0.0002750664,0.00430912,0.003458702,0.0002095002,0.00001122814,0.9914918,0.00001226905,0.0002311187],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3328482,"threshold_uncertainty_score":0.9999835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02469978874932006,"score_gpt":0.2825623458019117,"score_spread":0.2578625570525916,"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."}}