{"id":"W2904805659","doi":"10.7202/1054314ar","title":"Nebesna Sotnia 1","year":2018,"lang":"en","type":"article","venue":"Ethnologies","topic":"Memory, Trauma, and Commemoration","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Collective memory; Narrative; Poetry; State (computer science); History; Ukrainian; Hymn; Media studies; Sociology; Literature; Law; Political science; Art; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001429189,0.00009888075,0.0001098361,0.00006895475,0.000121185,0.00002436458,0.0002628679,0.0001677723,0.002797066],"category_scores_gemma":[0.00009918069,0.00008500872,0.00003701229,0.0001350373,0.0002910525,0.00006394358,0.00005131508,0.0001548232,0.005640658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001255845,"about_ca_system_score_gemma":0.00001469999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009036564,"about_ca_topic_score_gemma":0.0001451862,"domain_scores_codex":[0.9992482,0.00007205705,0.0001341615,0.0002233849,0.0000740578,0.0002481166],"domain_scores_gemma":[0.9993217,0.00007199359,0.00004727642,0.0004792251,0.00005380547,0.00002602155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001037861,0.0001390388,0.00557669,0.000008847876,0.00008373029,0.00002386973,0.01462035,8.21657e-7,0.002809579,0.04596223,0.4231304,0.5075407],"study_design_scores_gemma":[0.002274675,0.001840557,0.2864789,0.00003442132,0.00006315982,0.00005203626,0.04948918,0.0001031205,0.03754985,0.06151765,0.5596219,0.0009745117],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.66294,0.0005435963,0.001114825,0.004969438,0.002967067,0.0001213829,0.000003145784,0.0006443271,0.3266962],"genre_scores_gemma":[0.9870302,0.00001167795,0.0007183873,0.0006722006,0.0004706072,0.00002697876,0.000004946605,0.00001176213,0.01105321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5065662,"threshold_uncertainty_score":0.9981145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07350475655048205,"score_gpt":0.3613315801440057,"score_spread":0.2878268235935236,"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."}}