{"id":"W3126077499","doi":"10.5171/2014.920553","title":"Social Media Analytics as a Business Intelligence Practice:Current Landscape &amp; Future Prospects","year":2014,"lang":"en","type":"article","venue":"Journal of Internet Social Networking and Virtual Communities","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Social media analytics; Social media; Analytics; Business intelligence; Business analytics; Workflow; Knowledge management; Social business; Public relations; Business; Computer science; Data science; Business model; Marketing; World Wide Web; Political science; Business analysis","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":[0.02910005,0.0008475726,0.001337122,0.004769556,0.002621803,0.01676326,0.003228948,0.009495642,0.01651799],"category_scores_gemma":[0.01494836,0.0007047192,0.0009679561,0.006574634,0.01390609,0.02810589,0.005441863,0.006527145,0.003129598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003228336,"about_ca_system_score_gemma":0.01310389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003981933,"about_ca_topic_score_gemma":0.008592169,"domain_scores_codex":[0.9933068,0.003243776,0.0005908153,0.0007136151,0.00157243,0.0005725417],"domain_scores_gemma":[0.9511049,0.03023119,0.003460696,0.001245977,0.008582459,0.005374746],"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":[0.0003617962,0.001188744,0.00893254,0.005120575,0.00006579862,0.0002448365,0.001671874,0.001044017,0.0008443021,0.1309692,0.03999236,0.8095641],"study_design_scores_gemma":[0.0001755066,0.001027954,0.009873611,0.03132562,0.0001737963,0.001139872,0.02672471,0.01032183,0.001326301,0.2337136,0.6838769,0.0003204146],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006064123,0.6930993,0.01267721,0.2533544,0.002447347,0.0001121522,0.0001787161,0.0002460711,0.03182069],"genre_scores_gemma":[0.1463586,0.7807155,0.03213003,0.02325566,0.009147246,0.0003353048,0.0002965425,0.00008912953,0.007672043],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02910005,"threshold_uncertainty_score":0.1538976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05258254396363217,"score_gpt":0.342748426732539,"score_spread":0.2901658827689068,"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."}}