{"id":"W3093500723","doi":"10.5539/cis.v13n4p23","title":"GMSM: A Design Method for Misinformation-Aware Social Media","year":2020,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Misinformation; Social media; Computer science; Multimedia; Internet privacy; World Wide Web; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009664437,0.00006248043,0.00009355179,0.00008209932,0.0004117054,0.0006130598,0.0002629338,0.00003575455,0.00001272816],"category_scores_gemma":[0.0003835709,0.00005576988,0.00003035082,0.0004988402,0.0002924844,0.007526485,0.00006303812,0.00004102791,0.00002863439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002551054,"about_ca_system_score_gemma":0.0002930699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003613561,"about_ca_topic_score_gemma":0.000001547132,"domain_scores_codex":[0.9990582,0.00002030056,0.0002111647,0.00008949582,0.0004010265,0.0002197405],"domain_scores_gemma":[0.9991592,0.0002092044,0.00009123216,0.00004166977,0.0002810945,0.0002176065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008399423,0.000002563614,0.000005743029,0.00001503602,0.000001451192,4.698332e-8,0.1431714,0.0000608818,0.000004321781,0.03757615,0.005515106,0.8136389],"study_design_scores_gemma":[0.000347937,0.00005260546,0.0005726602,0.000007076157,0.000004087415,8.472724e-7,0.005458467,0.1605662,0.00008226319,0.0004344914,0.8323382,0.000135283],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003236268,0.000006159155,0.9714011,0.003326066,0.0003201758,0.0002655635,0.00001096728,0.00006604534,0.02428028],"genre_scores_gemma":[0.4588519,0.000111153,0.5069292,0.03166928,0.002088458,0.00007349044,0.00006177794,0.0000111025,0.0002036753],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.826823,"threshold_uncertainty_score":0.591175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06849875845302889,"score_gpt":0.3388395326672211,"score_spread":0.2703407742141922,"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."}}