{"id":"W6967978331","doi":"10.5281/zenodo.15000511","title":"Digital Theater of the Absurd: The Phenomenon of Algorithmic Looping in Scientific Article Publications (Цифровой театр абсурда: феномен зацикливания алгоритмов при публикации научных статей)","year":2025,"lang":"ru","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Education and Technology Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Phenomenon; Scientific literature; Work (physics); Scientific progress; Scientific article","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":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.009532637,0.0004518819,0.0003941816,0.007432987,0.004913773,0.01963748,0.001264242,0.002191695,0.01848328],"category_scores_gemma":[0.06173032,0.0006140501,0.0005131101,0.008708301,0.017595,0.01891328,0.007446706,0.002452124,0.003730554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002522199,"about_ca_system_score_gemma":0.002538036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007598534,"about_ca_topic_score_gemma":0.000697955,"domain_scores_codex":[0.9879465,0.005382424,0.0007533117,0.001482975,0.003830499,0.0006042931],"domain_scores_gemma":[0.9477763,0.02774085,0.007635972,0.01195873,0.003671475,0.001216531],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008733338,0.0000225677,0.001994451,0.0002700048,0.00002660629,0.0002885829,0.01982826,0.0003292014,0.001172932,0.9041107,0.009211541,0.0626579],"study_design_scores_gemma":[0.00005201314,0.00009847464,0.004011274,0.0006944619,0.00006097979,0.001206687,0.01040863,0.001917267,0.002714608,0.4980987,0.480641,0.00009594895],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1601858,0.01196935,0.139413,0.03647036,0.004167027,0.0002196016,0.000810199,0.001937396,0.6448272],"genre_scores_gemma":[0.9231416,0.003914801,0.02608579,0.001655068,0.002255393,0.0002167481,0.0003436884,0.0009308685,0.041456],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9950863,"threshold_uncertainty_score":0.06183273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03131073387636774,"score_gpt":0.2852614942918871,"score_spread":0.2539507604155194,"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."}}