{"id":"W4398619724","doi":"10.7910/dvn/iz3vau/atcq3w","title":"A5.3.webm","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Replication (statistics); Pandemic; Computer science; Data science; Virology; Coronavirus disease 2019 (COVID-19); Biology; Medicine","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":[0.001123129,0.002397619,0.001334696,0.005835204,0.0009626417,0.0028787,0.002517499,0.002381183,0.2054399],"category_scores_gemma":[0.007207894,0.0009331448,0.002229718,0.00601287,0.0004925144,0.001140068,0.002109988,0.001733111,0.180898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001354004,"about_ca_system_score_gemma":0.002615087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02375147,"about_ca_topic_score_gemma":0.06229848,"domain_scores_codex":[0.9992247,0.0001199217,0.0001025659,0.0002084039,0.0001434846,0.0002009078],"domain_scores_gemma":[0.9965154,0.00105978,0.0004191013,0.0006799932,0.0007586122,0.0005671297],"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":[0.00008001004,0.000026845,0.000944418,0.0008453002,0.00003126314,0.00001510556,0.00002498157,0.000142699,0.0001153252,0.0002356572,0.9962361,0.001302301],"study_design_scores_gemma":[0.000871427,0.00006058954,0.008999161,0.0005977669,0.00008669058,0.00007197595,0.0001717533,0.0006134917,0.0005610608,0.001643369,0.986272,0.00005081571],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007157043,0.00002596835,0.00002251411,0.00004069693,0.00002122609,0.00001270294,0.9991411,0.0002825431,0.0003816],"genre_scores_gemma":[0.0004700413,0.00004064148,0.000289308,0.00008755783,0.00001603182,0.0001092696,0.9980071,0.0001002902,0.0008797618],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7945601,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01894219247853281,"score_gpt":0.2473651736568261,"score_spread":0.2284229811782933,"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."}}