{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00105319,0.001841674,0.001233611,0.004789095,0.0007829007,0.002609955,0.002196818,0.002171898,0.2016199],"category_scores_gemma":[0.007792952,0.0007706629,0.00174781,0.006400742,0.0004016043,0.001220207,0.002021216,0.001764162,0.1761571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001227362,"about_ca_system_score_gemma":0.00225218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01903432,"about_ca_topic_score_gemma":0.04763464,"domain_scores_codex":[0.9991513,0.0001395618,0.0001257265,0.0002276552,0.0001591243,0.0001965344],"domain_scores_gemma":[0.9967003,0.001064592,0.0004384628,0.0006302938,0.0007249858,0.0004413495],"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":[0.00006840193,0.0000196555,0.0008969643,0.0007954944,0.00002644629,0.00001402131,0.00001818579,0.0001391702,0.000083924,0.0002458296,0.9963649,0.001327017],"study_design_scores_gemma":[0.0006514887,0.00005082127,0.009046669,0.0005712771,0.00006288601,0.00006791181,0.0001251303,0.0004761071,0.0003676503,0.001482823,0.987061,0.00003622263],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005824041,0.00002740281,0.00002017289,0.00004091247,0.00001755553,0.000009795366,0.9992914,0.0001695322,0.0003649905],"genre_scores_gemma":[0.0004423826,0.00004569711,0.0002302086,0.00008458473,0.00001727925,0.00009749878,0.9981282,0.0000705754,0.0008835683],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7983801,"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."}}