{"id":"W2490176128","doi":"10.1145/2851613.2851810","title":"Estimating topical volume in social media streams","year":2016,"lang":"en","type":"article","venue":"","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Science Foundation","keywords":"Computer science; Volume (thermodynamics); Social media; Cardinality (data modeling); Simple (philosophy); Task (project management); Computation; Event (particle physics); Consumption (sociology); Data mining; Algorithm; World Wide Web; Engineering","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":[0.001609774,0.0009828353,0.001032001,0.006075314,0.0007102414,0.001882001,0.000855855,0.001102468,0.0007889276],"category_scores_gemma":[0.01111019,0.0006621911,0.0006552107,0.002991065,0.000560765,0.003551912,0.001163172,0.001011374,0.0006456517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008766255,"about_ca_system_score_gemma":0.0006167047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004101306,"about_ca_topic_score_gemma":0.004398442,"domain_scores_codex":[0.9990082,0.0002305655,0.00006004733,0.0002262729,0.0003476153,0.0001273192],"domain_scores_gemma":[0.9941666,0.003634221,0.0008108104,0.0003376261,0.0008521948,0.0001985825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008862648,0.0002782322,0.06410959,0.0004307232,0.0002221758,0.0007483131,0.001564712,0.4115082,0.03436458,0.02751201,0.00833529,0.45004],"study_design_scores_gemma":[0.00001206504,0.00003861391,0.005644177,0.00001898769,0.00002339878,0.0001109834,0.0001605442,0.9692313,0.005539751,0.01618839,0.003010215,0.00002151649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1711089,0.0009274048,0.822622,0.0003407823,0.0001043088,0.0001139306,0.001052872,0.001827356,0.001902393],"genre_scores_gemma":[0.7584985,0.00119118,0.2323227,0.00009932567,0.0008655234,0.0002458418,0.003756086,0.0004802048,0.002540709],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006075314,"threshold_uncertainty_score":0.008513391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01468695027238126,"score_gpt":0.2738329863196364,"score_spread":0.2591460360472551,"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."}}