{"id":"W7011379197","doi":"","title":"#Microposts2016 : making sense of microposts : big things come in small packages:proceedings of the 6th Workshop on 'Making Sense of Microposts' co-located with the 25th International World Wide Web Conference (WWW 2016) Montréal, Canada, April 11, 2016","year":2016,"lang":"en","type":"book","venue":"Aston Publications Explorer (Aston University)","topic":"Classical Studies and Legal History","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Big data; Internet of Things; The Internet; Key (lock)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002617722,0.0005496111,0.0007290358,0.00104831,0.0005689985,0.00009452304,0.001085587,0.000172953,0.0003685439],"category_scores_gemma":[0.00007250631,0.0003583936,0.0002578606,0.0004116287,0.002008106,0.0003524601,0.0004832406,0.0007021984,0.00001320642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001559184,"about_ca_system_score_gemma":0.001802883,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02622005,"about_ca_topic_score_gemma":0.504343,"domain_scores_codex":[0.9975451,0.00008872032,0.0006893714,0.0006370832,0.0005752902,0.000464481],"domain_scores_gemma":[0.9955654,0.0004364675,0.001629005,0.0006112948,0.001660493,0.00009732565],"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":[0.0007128509,0.0003633568,0.0005711507,0.0002060699,0.0006211721,0.00002646078,0.01621417,0.00001438624,0.001831107,0.3177444,0.6594499,0.002244969],"study_design_scores_gemma":[0.0007476536,0.00007122234,0.0003347105,0.002530489,0.0001424844,0.000006366762,0.006887326,0.00001951397,0.0002993743,0.00006785545,0.9884541,0.0004388719],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06194394,0.0008684905,0.0001215898,0.03401509,0.001257387,0.001878514,0.002170767,0.0001396901,0.8976045],"genre_scores_gemma":[0.3385051,0.0003773009,0.00005441147,0.0006730054,0.0001935724,0.00001001683,0.00008465691,0.00009076036,0.6600112],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4781229,"threshold_uncertainty_score":0.9998868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02500729262507042,"score_gpt":0.1913129302503114,"score_spread":0.1663056376252409,"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."}}