{"id":"W4398900805","doi":"10.7910/dvn/udxoga","title":"Replication Data for: R code for Multi-group CFA SAWSES validation","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Red River College","funders":"","keywords":"Replication (statistics); Computer science; Code (set theory); Group (periodic table); Programming language; Biology; Chemistry; Virology","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":[0.01451692,0.002195205,0.001656254,0.002606279,0.002109847,0.003296316,0.003656183,0.002238931,0.2126217],"category_scores_gemma":[0.1110679,0.001405184,0.002999161,0.003955109,0.001270636,0.002135572,0.002358739,0.002672001,0.1158822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001358658,"about_ca_system_score_gemma":0.005919147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02084326,"about_ca_topic_score_gemma":0.0424925,"domain_scores_codex":[0.9899421,0.003398275,0.001114729,0.002922636,0.002039609,0.0005826791],"domain_scores_gemma":[0.9371397,0.02643084,0.002923652,0.02145946,0.01088418,0.001162295],"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":[0.000192725,0.00006115515,0.002750183,0.000550368,0.0001767868,0.00004465638,0.0001139498,0.0007001247,0.0002023525,0.001605416,0.9870221,0.006580253],"study_design_scores_gemma":[0.002011917,0.0001189882,0.01555319,0.0008027436,0.000378437,0.000146651,0.0002749777,0.001818888,0.001087345,0.01234012,0.9652821,0.0001847031],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008628672,0.00004642848,0.004679895,0.0003103116,0.0001767828,0.000586918,0.9886013,0.001958602,0.002776938],"genre_scores_gemma":[0.01042541,0.00006087579,0.02338211,0.0008256664,0.00006806955,0.008546005,0.9415834,0.004334909,0.01077354],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2126217,"threshold_uncertainty_score":0.7112903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05899255148898291,"score_gpt":0.3089327831596023,"score_spread":0.2499402316706194,"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."}}