{"id":"W2485702362","doi":"10.46692/9781447308317.010","title":"Social media and policy evolution in Taiwan","year":2015,"lang":"en","type":"other","venue":"","topic":"Social Media and Politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social media; Political science; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008179909,0.0001533871,0.0001573129,0.002831773,0.001977866,0.005247683,0.0005956741,0.0008623099,0.0108136],"category_scores_gemma":[0.003129967,0.00011642,0.0002014382,0.00647694,0.001480868,0.002705138,0.002442256,0.00113538,0.0006620784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00740911,"about_ca_system_score_gemma":0.004480842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05133233,"about_ca_topic_score_gemma":0.02859431,"domain_scores_codex":[0.9993674,0.0001670707,0.00004447735,0.00007707605,0.0001161622,0.0002278964],"domain_scores_gemma":[0.9979011,0.0006786017,0.0006182364,0.00009577975,0.0003020368,0.0004042424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002397533,0.0005509245,0.5450139,0.0004869831,0.0001472602,0.005707941,0.06879435,0.002536322,0.001102103,0.2491051,0.02295177,0.1033636],"study_design_scores_gemma":[0.0000528697,0.0002280444,0.4969421,0.0007374233,0.0000689595,0.0005289106,0.1584683,0.006430114,0.001040754,0.02602797,0.3093809,0.00009352338],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8618385,0.002606067,0.0003843809,0.01589278,0.00009782518,0.00007427129,0.0009586425,0.00005775529,0.1180898],"genre_scores_gemma":[0.9889801,0.000799325,0.0001179426,0.0004401576,0.0000428179,0.00004144679,0.0003763826,0.00001225228,0.009189665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05133233,"threshold_uncertainty_score":0.1020671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03827008065273158,"score_gpt":0.3649778457778456,"score_spread":0.3267077651251141,"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."}}