{"id":"W6913052758","doi":"10.5683/sp2/01gx1f","title":"Replication Data for: HUG-5 Validation","year":2019,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Replication (statistics); Data quality; Quality (philosophy); Data validation","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":[],"consensus_categories":[],"category_scores_codex":[0.006730461,0.002290748,0.001878424,0.00186567,0.0009720493,0.001627536,0.00310773,0.003447957,0.03549671],"category_scores_gemma":[0.03032545,0.0006599089,0.00295577,0.001882733,0.0008853788,0.0008442264,0.002148535,0.00239761,0.03368242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001119318,"about_ca_system_score_gemma":0.003113916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02156512,"about_ca_topic_score_gemma":0.02704971,"domain_scores_codex":[0.9955865,0.001470065,0.0004337343,0.001131053,0.0009918046,0.0003867268],"domain_scores_gemma":[0.9893398,0.003468159,0.0006292533,0.003936406,0.002159252,0.0004672264],"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":[0.001339279,0.0002882534,0.01588017,0.001018663,0.000557487,0.000171174,0.00008068233,0.001701343,0.0006282138,0.0003822282,0.9635761,0.01437649],"study_design_scores_gemma":[0.007878085,0.001006017,0.1882736,0.002061076,0.00167347,0.001715525,0.0005010971,0.008970742,0.004286348,0.005779202,0.7774179,0.0004368838],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007196885,0.0003948401,0.0008530308,0.0004134051,0.0002077204,0.0001594418,0.9881093,0.000938303,0.001727096],"genre_scores_gemma":[0.00966298,0.00006974727,0.001030113,0.0002470418,0.00004234515,0.0004690005,0.9868313,0.0001550388,0.001492355],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03549671,"threshold_uncertainty_score":0.1187483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1233206645375381,"score_gpt":0.375800479506761,"score_spread":0.2524798149692229,"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."}}