{"id":"W2899033647","doi":"10.1145/3274381","title":"StreamWiki","year":2018,"lang":"en","type":"article","venue":"Proceedings of the ACM on Human-Computer Interaction","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Context (archaeology); Multimedia; Voting; World Wide Web; Human–computer interaction","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":[],"consensus_categories":[],"category_scores_codex":[0.000188597,0.0001378322,0.0001433402,0.0001377959,0.0002161535,0.0001968144,0.002607769,0.00005077227,0.00001502571],"category_scores_gemma":[0.0001311842,0.00009848842,0.0001181484,0.0002905697,0.00007190358,0.0005162728,0.000994279,0.00026257,0.00007883177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000474199,"about_ca_system_score_gemma":0.00001147357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001448012,"about_ca_topic_score_gemma":0.00000163147,"domain_scores_codex":[0.9989502,0.00000928527,0.0002470507,0.0003245727,0.0002858517,0.0001830398],"domain_scores_gemma":[0.998719,0.0000507173,0.0002974301,0.000564844,0.0003272776,0.00004071143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000118532,0.001431366,0.01500857,0.0002417713,0.0003416275,0.000003017974,0.008446043,0.0003364711,0.08563042,0.3934545,0.1835124,0.3114753],"study_design_scores_gemma":[0.001550654,0.004104254,0.03742716,0.001473,0.00008924537,0.0001293044,0.000322262,0.379389,0.355314,0.1686882,0.05035909,0.001153829],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783775,0.000003970836,0.003321802,0.008331597,0.001549634,0.0001167105,7.075468e-7,0.0002239032,0.008074184],"genre_scores_gemma":[0.979437,0.00000124617,0.0184084,0.0004527481,0.0009704594,0.000002418688,4.449657e-7,0.00001056896,0.000716726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3790525,"threshold_uncertainty_score":0.4845927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04278494560197251,"score_gpt":0.3366055683602679,"score_spread":0.2938206227582955,"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."}}