{"id":"W2914357766","doi":"10.1145/3252668","title":"Session details: Microblog","year":2016,"lang":"en","type":"article","venue":"","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Session (web analytics); Microblogging; Computer science; Social media; World Wide Web","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001452835,0.001263924,0.001820042,0.001252715,0.002873812,0.005326667,0.001303824,0.002861305,0.9182903],"category_scores_gemma":[0.005798336,0.0003488157,0.0008054271,0.001501375,0.0003259653,0.003196558,0.003382581,0.001953083,0.8564857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008256847,"about_ca_system_score_gemma":0.001546778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002809472,"about_ca_topic_score_gemma":0.008389204,"domain_scores_codex":[0.9993851,0.0001044615,0.00003001098,0.0001491212,0.0001917909,0.0001394756],"domain_scores_gemma":[0.9959228,0.0007054149,0.00009736967,0.0005556172,0.0008692376,0.001849479],"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":[0.0001042583,0.00003671463,0.00006687305,0.0001052141,0.000003801555,0.00001531673,0.0000122946,0.000021094,0.0001703766,0.0002012843,0.9861017,0.01316091],"study_design_scores_gemma":[0.00005590494,0.00004941198,0.0004753606,0.00006385428,0.000006926647,0.00002358075,0.00004204545,0.0001358645,0.0002186328,0.0003562687,0.9985629,0.000009458723],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001841964,0.002577216,0.002539423,0.01299003,0.0307078,0.00144939,0.1112542,0.009188344,0.8274516],"genre_scores_gemma":[0.00960543,0.00119209,0.0007053679,0.001850185,0.004187233,0.0004628508,0.0230851,0.001536425,0.9573752],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08170968,"threshold_uncertainty_score":0.116549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01131960605968052,"score_gpt":0.2201761311574032,"score_spread":0.2088565250977227,"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."}}