{"id":"W7011755748","doi":"","title":"National and cultural achievements of Canadian Ukrainians","year":2018,"lang":"en","type":"article","venue":"Zhytomyr State University Library (Zhytomyr Ivan Franko State University)","topic":"Civil and Structural Engineering Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Ethnic group; Work (physics); Indigenous","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006958897,0.0003031198,0.0002880773,0.002104681,0.0003324056,0.00007798156,0.0004915742,0.0001089529,0.0004716051],"category_scores_gemma":[0.000009255191,0.0003573984,0.0001006619,0.00198073,0.0003686261,0.002006692,0.0001449854,0.0003093621,0.00003433522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002455048,"about_ca_system_score_gemma":0.000285751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003107085,"about_ca_topic_score_gemma":0.007970624,"domain_scores_codex":[0.9984286,0.00005596508,0.0001769717,0.000374527,0.0003404582,0.0006234175],"domain_scores_gemma":[0.9990125,0.00008349678,0.00003790401,0.00021121,0.0001516785,0.0005031988],"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":[0.004089125,0.0005040969,0.08341315,0.006204776,0.0090369,0.01358791,0.09764039,0.07211176,0.02673625,0.07689357,0.3642821,0.2455],"study_design_scores_gemma":[0.001344337,0.0001626511,0.01980073,0.0001086505,0.00002919028,0.00001562045,0.0009144871,0.01089798,0.001973692,0.0002071965,0.9639174,0.0006280454],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.902981,0.0002001268,0.0007595844,0.0002470512,0.0003310628,0.000272853,0.001454475,0.0005420632,0.09321171],"genre_scores_gemma":[0.9844463,0.001312266,0.00114617,0.00002914185,0.00006486864,1.133442e-7,0.0001103033,0.00004299805,0.01284787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5996354,"threshold_uncertainty_score":0.9998878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008301362110483088,"score_gpt":0.1691280940809148,"score_spread":0.1608267319704317,"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."}}