{"id":"W4409071110","doi":"10.31261/pr.15357","title":"Селфи-дискурс и сетевая коммуникация в эпоху искусственного интеллекта","year":2023,"lang":"ru","type":"article","venue":"Przegląd Rusycystyczny","topic":"Language, Communication, and Linguistic Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Political science","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","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003105879,0.0008525198,0.001116242,0.0004023826,0.0037723,0.0005688227,0.002569845,0.0006269594,0.005875863],"category_scores_gemma":[0.003517841,0.0008316622,0.000589724,0.003403309,0.001566169,0.0003312746,0.000860372,0.0008915777,0.01770248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004074875,"about_ca_system_score_gemma":0.0006192604,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01346773,"about_ca_topic_score_gemma":0.00440026,"domain_scores_codex":[0.99249,0.001079103,0.001337528,0.001291292,0.00167406,0.002128017],"domain_scores_gemma":[0.9941074,0.001872944,0.0005449206,0.002205757,0.0006455683,0.000623387],"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":[0.0003196879,0.001226727,0.02070348,0.0007289292,0.001664084,0.0004323596,0.2823865,0.00007415022,0.000202665,0.1591591,0.3556114,0.177491],"study_design_scores_gemma":[0.001174616,0.0002023115,0.01730844,0.0003559269,0.0003365773,0.00000992293,0.03465905,0.0004971203,0.00006986922,0.008510711,0.9355825,0.001292994],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08575159,0.0159684,0.00007500205,0.01430413,0.008755053,0.001994587,0.0003558212,0.002463595,0.8703318],"genre_scores_gemma":[0.7979408,0.02105411,0.0005689358,0.0009192641,0.003828109,0.0001890588,0.000169388,0.0001524739,0.1751779],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7121892,"threshold_uncertainty_score":0.9994134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05101196540457267,"score_gpt":0.3640432209024415,"score_spread":0.3130312554978688,"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."}}