{"id":"W4398541595","doi":"10.7910/dvn/iz3vau/sptkvu","title":"A5.1.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; Research data; Political science; History; Coronavirus disease 2019 (COVID-19); Library science; Data science; Virology; Computer science; Biology; Medicine; Data curation","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":[0.0002226422,0.0002972051,0.0002868391,0.0001248201,0.00007180775,0.0003737009,0.003071494,0.0002298681,0.002251331],"category_scores_gemma":[0.00043777,0.0002981637,0.00009799776,0.0003043789,0.00002528288,0.0008431658,0.001516221,0.0006001921,0.1554171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004043463,"about_ca_system_score_gemma":0.0001141846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001103326,"about_ca_topic_score_gemma":0.000007792763,"domain_scores_codex":[0.9984639,0.00006162587,0.0002372055,0.0005987764,0.000357231,0.0002812736],"domain_scores_gemma":[0.9972714,0.0002120421,0.0001752797,0.002121077,0.00003957302,0.0001806054],"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":[0.000003596438,0.00001817765,4.827426e-7,0.00007163761,0.00002882917,0.0002456004,0.00001055705,0.000005252201,0.000001493838,0.0002917188,0.9984348,0.0008878722],"study_design_scores_gemma":[0.00008493554,0.0000557631,0.000003756869,0.00003973087,0.00003176547,0.00003524304,0.000001324965,0.0004832885,0.00002009306,0.0001070636,0.9987906,0.0003463946],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[5.763978e-8,0.000001764046,0.1173286,0.0000434434,0.0009371251,0.0001319005,0.8807337,0.0007399032,0.00008346866],"genre_scores_gemma":[8.880965e-7,0.0004347962,0.05878309,0.001033286,0.0002885757,0.00002150054,0.9393673,0.00001538077,0.00005518256],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1531657,"threshold_uncertainty_score":0.9999471,"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."}}