{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004858545,0.0003386683,0.0004534506,0.0001484649,0.0001572699,0.0001385298,0.001495078,0.0003112019,0.0008300336],"category_scores_gemma":[0.001291921,0.000349353,0.0001484779,0.0002150716,0.00005175475,0.0005701266,0.0002713956,0.0002588962,0.003523203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001060164,"about_ca_system_score_gemma":0.00005142799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005806869,"about_ca_topic_score_gemma":0.0004384222,"domain_scores_codex":[0.9979763,0.00003893619,0.0004952265,0.000959167,0.0002225123,0.0003078547],"domain_scores_gemma":[0.9949211,0.0001804958,0.0001571631,0.004535657,0.00009469477,0.0001108275],"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":[0.00003477438,0.00002504767,0.00000250351,0.000793889,0.0001702917,9.596945e-7,0.000009573071,0.003595532,0.0002037178,0.00002071333,0.9932923,0.001850703],"study_design_scores_gemma":[0.0004049016,0.00003069485,0.00000625902,0.00003389028,0.0004948023,0.000001708219,0.00002708871,0.1170721,0.000286518,0.0000281706,0.8812861,0.0003277926],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000003089858,0.000002104963,0.2222747,0.000007812068,0.0002783433,0.0007463166,0.776555,0.0001274583,0.000005179197],"genre_scores_gemma":[0.00002646724,0.0004337032,0.02001153,0.0001231458,0.0004830171,0.0002180388,0.9786453,0.00004338903,0.00001538672],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2022632,"threshold_uncertainty_score":0.9998959,"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."}}