{"id":"W2546761577","doi":"10.1145/2957276.2957286","title":"SocialStreamViewer","year":2016,"lang":"en","type":"article","venue":"","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"STREAMS; Computer science; Event (particle physics); Multimedia; Data stream mining; World Wide Web; Human–computer interaction; Computer network; Data mining","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":[0.001465907,0.001372236,0.0006335612,0.001248622,0.0006471574,0.001933068,0.001874905,0.001130868,0.1212074],"category_scores_gemma":[0.00601443,0.000577726,0.0007567634,0.0006260996,0.0005449319,0.003857857,0.003592682,0.001346287,0.01927061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005611732,"about_ca_system_score_gemma":0.001017755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002653388,"about_ca_topic_score_gemma":0.004030175,"domain_scores_codex":[0.999143,0.0001507261,0.00005602946,0.0001487257,0.0003876548,0.000113817],"domain_scores_gemma":[0.997869,0.0008100115,0.0001069739,0.0003610054,0.0004885824,0.0003644918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002630823,0.0004800863,0.003520342,0.001764614,0.0001268204,0.0008512565,0.00297424,0.001567669,0.02849095,0.01622148,0.6145504,0.3268213],"study_design_scores_gemma":[0.0006595418,0.0005387743,0.004918199,0.0002917892,0.0001034113,0.0008633055,0.000509172,0.02326987,0.01875521,0.01287443,0.937008,0.0002084306],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.04864658,0.003161692,0.2068019,0.001753354,0.001568249,0.002860568,0.03882965,0.5155151,0.1808629],"genre_scores_gemma":[0.3303607,0.003396073,0.1934885,0.002680977,0.001418943,0.004805469,0.088927,0.0709444,0.303978],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.1212074,"threshold_uncertainty_score":0.4054791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0399440118227617,"score_gpt":0.3737072721897611,"score_spread":0.3337632603669994,"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."}}