{"id":"W4408125109","doi":"10.1079/searchrxiv.2025.00909","title":"Systematic Search: Social Media (Scopus).","year":2025,"lang":"en","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":"Scopus; Social media; Information retrieval; World Wide Web; Political science; Computer science; MEDLINE","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"],"consensus_categories":[],"category_scores_codex":[0.02055631,0.003202926,0.009190198,0.06795541,0.00260952,0.007827394,0.002767256,0.003068299,0.1227987],"category_scores_gemma":[0.126611,0.001858828,0.003574382,0.08247288,0.001611111,0.00639899,0.008229421,0.002285531,0.01935276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003658219,"about_ca_system_score_gemma":0.03587634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01322486,"about_ca_topic_score_gemma":0.02296222,"domain_scores_codex":[0.9798869,0.005560826,0.009067939,0.001813507,0.003039695,0.0006311597],"domain_scores_gemma":[0.9131435,0.05156991,0.01045678,0.007406891,0.01452262,0.002900357],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008156524,0.0000749316,0.001403784,0.4652912,0.00469173,0.0004492236,0.001495443,0.000436974,0.001332129,0.01079607,0.4054282,0.1077846],"study_design_scores_gemma":[0.002790655,0.0004804667,0.01568202,0.2533249,0.01362516,0.0007633108,0.002655807,0.001746507,0.002278996,0.05643961,0.649538,0.0006745714],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.00672273,0.09043571,0.01484408,0.01095074,0.00259988,0.01769605,0.8025658,0.01272673,0.04145831],"genre_scores_gemma":[0.09350796,0.1814903,0.1512427,0.005187623,0.00295049,0.1106155,0.4093993,0.007618323,0.03798781],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9794437,"threshold_uncertainty_score":0.4108027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07189714413608372,"score_gpt":0.4057886194276468,"score_spread":0.3338914752915631,"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."}}