{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002239713,0.0002975464,0.0002873971,0.0001243862,0.00007165917,0.0003723318,0.003073999,0.000230281,0.002288696],"category_scores_gemma":[0.0004280892,0.0002984762,0.00009814611,0.0003058277,0.00002530519,0.0008404601,0.001510137,0.0006002673,0.1617824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003935801,"about_ca_system_score_gemma":0.000111132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001064733,"about_ca_topic_score_gemma":0.000007858004,"domain_scores_codex":[0.9984622,0.00006188623,0.0002378755,0.0006000669,0.000358132,0.0002798478],"domain_scores_gemma":[0.9972678,0.0002120515,0.0001756892,0.002124905,0.00003862875,0.0001808737],"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":[0.00000360478,0.00001822737,4.795141e-7,0.00007079694,0.00002884582,0.0002387031,0.00001014963,0.000005191767,0.000001612345,0.0002986598,0.9984845,0.0008392319],"study_design_scores_gemma":[0.00008673279,0.00005578706,0.00000385165,0.00004061845,0.00003169278,0.0000353347,0.000001188263,0.0004794788,0.00002034532,0.0001061812,0.9987921,0.0003467206],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[5.650562e-8,0.000001765552,0.1192185,0.00004447733,0.0009114369,0.000130512,0.8788716,0.0007379966,0.00008368961],"genre_scores_gemma":[9.011348e-7,0.0004312703,0.06060415,0.001036974,0.000284305,0.00002161661,0.9375523,0.00001536006,0.00005313557],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1594937,"threshold_uncertainty_score":0.9999467,"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."}}