{"id":"W2947138704","doi":"10.29085/9781783303403.004","title":"Social tagging and public policy","year":2018,"lang":"en","type":"book-chapter","venue":"Facet eBooks","topic":"Social Media and Politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Disappointment; Legislation; Political science; Public relations; The Internet; Public administration; State (computer science); Corporate governance; Social media; Bridge (graph theory); Public opinion; Business; Law; Computer science; World Wide Web; Medicine; Politics; Psychology; Finance","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":[],"consensus_categories":[],"category_scores_codex":[0.002316422,0.0007386397,0.0003570778,0.002802652,0.003478442,0.01136594,0.0008320323,0.004995888,0.01928356],"category_scores_gemma":[0.00426852,0.000305112,0.0003713883,0.00456542,0.01206922,0.01318105,0.003185624,0.003400734,0.004942833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006584,"about_ca_system_score_gemma":0.003548104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003427695,"about_ca_topic_score_gemma":0.003281791,"domain_scores_codex":[0.9984006,0.0007767424,0.00006281934,0.0002504661,0.0003695941,0.0001397818],"domain_scores_gemma":[0.9973119,0.002097494,0.0001166458,0.0002402198,0.0001434686,0.0000902161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003904217,0.00001088219,0.0000663883,0.00008764862,0.000002239853,0.00003136799,0.001799739,0.0002128614,0.00005875584,0.9450452,0.02140102,0.03127991],"study_design_scores_gemma":[0.000003337616,0.000005443125,0.0001772275,0.000431154,0.000002666462,0.00005816303,0.001077039,0.000271911,0.0001139395,0.4084509,0.5893992,0.000009019887],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002786756,0.03677975,0.008231234,0.03148789,0.002714351,0.00004231602,0.0001183337,0.0001272587,0.9177121],"genre_scores_gemma":[0.3196596,0.0964883,0.01020034,0.01472586,0.006510406,0.0003418753,0.0004833968,0.0004531994,0.551137],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01928356,"threshold_uncertainty_score":0.06450993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07308363716067987,"score_gpt":0.345023966703317,"score_spread":0.2719403295426371,"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."}}