{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001741266,0.00001622851,0.00002855993,0.0000171795,0.000120897,0.000004206981,0.0001653314,0.0000440317,0.009264146],"category_scores_gemma":[0.0004929235,0.000009491786,0.00001443691,0.00005325635,0.0002013028,0.00003872257,0.00002154231,0.00001453031,0.0009434946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000194604,"about_ca_system_score_gemma":0.00003718473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002936727,"about_ca_topic_score_gemma":0.001611928,"domain_scores_codex":[0.999724,0.00005274338,0.00004061356,0.00003968712,0.00005956927,0.00008339167],"domain_scores_gemma":[0.9996808,0.0001081397,0.00001276631,0.0001205809,0.00005027862,0.00002740292],"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":[2.146932e-7,0.00000637202,0.001478783,6.015251e-8,0.000001105452,4.460445e-8,0.0003315593,1.331721e-10,0.0001690374,0.6183862,0.01284182,0.3667848],"study_design_scores_gemma":[0.00006391176,0.000001543204,0.0006633667,0.000001262531,5.160356e-7,1.91607e-8,0.0003161177,2.210331e-7,0.0002690535,0.01315853,0.9855023,0.00002313155],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01037232,0.00003198263,0.0005875842,0.07477071,0.0001695472,0.0000526449,4.027901e-7,0.0002814335,0.9137334],"genre_scores_gemma":[0.9676327,0.00032692,0.0009505356,0.0003132558,0.00006195408,0.0000060537,9.958182e-8,0.000001560188,0.03070694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9726605,"threshold_uncertainty_score":0.9998344,"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."}}