{"id":"W4398335244","doi":"10.7910/dvn/7zzkc7/5x6efx","title":"METEC_replication_repairs.R","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","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":[0.002719838,0.004286038,0.002705694,0.003424861,0.001715442,0.005928033,0.006649234,0.003347508,0.1976919],"category_scores_gemma":[0.01091388,0.001574364,0.002345037,0.004598875,0.0009999484,0.003247831,0.003449766,0.002585943,0.2606924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001812182,"about_ca_system_score_gemma":0.002943577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02209099,"about_ca_topic_score_gemma":0.03243903,"domain_scores_codex":[0.9980209,0.0003551245,0.0001483115,0.0006638947,0.000478205,0.0003335882],"domain_scores_gemma":[0.9959654,0.0007772579,0.0002021469,0.00194583,0.0006802591,0.0004290578],"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":[0.00005496362,0.000009417938,0.0001944818,0.0003751642,0.00003277829,0.000007500762,0.00001167098,0.0003255255,0.00008787618,0.000565248,0.9969194,0.001416008],"study_design_scores_gemma":[0.0005730972,0.00003955163,0.001242004,0.0002840835,0.00004347265,0.00005238525,0.00005300619,0.002599281,0.001125357,0.00503253,0.9889008,0.00005441971],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000146723,0.0001222433,0.0003161065,0.0001531343,0.0001165728,0.000024892,0.9893376,0.007433307,0.002349505],"genre_scores_gemma":[0.000942165,0.0001260819,0.001331358,0.0001357354,0.00003094887,0.0001037846,0.9944336,0.001731227,0.001165141],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8023081,"threshold_uncertainty_score":0.6613454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01949966032503094,"score_gpt":0.2422532060373163,"score_spread":0.2227535457122853,"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."}}