{"id":"W4407364679","doi":"10.1079/searchrxiv.2025.00868","title":"Systematic Search: Social Media (ERIC).","year":2025,"lang":"de","type":"preprint","venue":"","topic":"Wikis in Education and Collaboration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; Mount Royal University","funders":"","keywords":"Social media; Political science; Computer science; Data science; Information retrieval; World Wide Web","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002522863,0.0003222003,0.0007261797,0.0002716633,0.001168225,0.0006738179,0.0009647904,0.0006953711,0.003947036],"category_scores_gemma":[0.001700317,0.0003118584,0.0002467409,0.001537811,0.0003692076,0.0001431444,0.0003694072,0.0005882267,0.002467058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007170801,"about_ca_system_score_gemma":0.004489696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007011312,"about_ca_topic_score_gemma":0.002036687,"domain_scores_codex":[0.9948379,0.00183599,0.0008852081,0.0006116374,0.001341077,0.0004881191],"domain_scores_gemma":[0.9969282,0.001068108,0.0003639115,0.0004415516,0.001009845,0.000188379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001521587,0.0003254098,0.00005419796,0.02483192,0.0003538349,0.000001961906,0.4244123,0.00003022902,0.000006108353,0.4532378,0.0958053,0.0009257083],"study_design_scores_gemma":[0.0006725833,0.00003296887,0.001073517,0.01382402,0.001124109,5.473893e-7,0.8790481,0.001076412,0.0001218075,0.01904054,0.0822038,0.001781583],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.006763066,0.002135982,0.001572098,0.04515899,0.04090271,0.004465609,0.0001893545,0.0005502446,0.898262],"genre_scores_gemma":[0.6125463,0.003189221,0.002488955,0.00365328,0.01456251,0.001185918,0.0005124696,0.00005586319,0.3618055],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6057832,"threshold_uncertainty_score":0.9999334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07089726581992749,"score_gpt":0.3734485355457918,"score_spread":0.3025512697258643,"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."}}