{"id":"W7062953888","doi":"","title":"Конструювання релігійного дискурсу за допомогою мас-медіа &#13;\\n(Сonstructing religious discourse with the help of mass media)","year":2018,"lang":"uk","type":"other","venue":"Digital Repository of Ostroh Academy (Ostroh Academy)","topic":"Particle accelerators and beam dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Religiosity; Process (computing); Mass media; Religious identity; Discourse analysis","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","sts","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.0005808002,0.002293392,0.00275158,0.0007476753,0.0004924496,0.0005180276,0.003117469,0.002897938,0.0001587835],"category_scores_gemma":[0.0003325593,0.001812933,0.0009951746,0.001375268,0.003527613,0.001379973,0.0006575722,0.003842023,0.0002510072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004091593,"about_ca_system_score_gemma":0.000431738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009719314,"about_ca_topic_score_gemma":0.00001406986,"domain_scores_codex":[0.9896641,0.0002431699,0.003086725,0.001915607,0.00261134,0.002479],"domain_scores_gemma":[0.9936407,0.0007865154,0.00300495,0.00131093,0.000297804,0.0009591166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005455747,0.002448403,0.3809745,0.009712973,0.01894962,0.0009385809,0.009438379,0.0124733,0.2704051,0.007727227,0.2053965,0.07607964],"study_design_scores_gemma":[0.01752019,0.005294387,0.04535601,0.01974392,0.009057718,0.003431414,0.01782804,0.01410389,0.5474008,0.002760395,0.2999368,0.01756644],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9086736,0.005331896,0.0009010221,0.0009600536,0.001727134,0.001977159,0.001092378,0.0005659666,0.07877079],"genre_scores_gemma":[0.9787583,0.0006975249,0.001254307,0.0001111145,0.0039546,0.0001109017,0.00009620674,0.001120931,0.01389614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3356185,"threshold_uncertainty_score":0.9991842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009358123763581807,"score_gpt":0.2317412030252667,"score_spread":0.2223830792616849,"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."}}