{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001527477,0.001635352,0.001058602,0.001978934,0.00115221,0.00332781,0.003981784,0.001329236,0.08398116],"category_scores_gemma":[0.007541222,0.001247786,0.001385649,0.001904181,0.0005982122,0.007449723,0.004841716,0.003081506,0.05446357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000915996,"about_ca_system_score_gemma":0.002295726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005395061,"about_ca_topic_score_gemma":0.007470137,"domain_scores_codex":[0.9990626,0.0001149127,0.0001306071,0.0002381411,0.0003319538,0.0001217529],"domain_scores_gemma":[0.9973973,0.0007979751,0.00015925,0.0008496589,0.0004645922,0.0003313499],"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":[0.002660101,0.0004043766,0.001844871,0.002535118,0.0002547567,0.0007086448,0.001426867,0.002053902,0.01960756,0.02746646,0.7480023,0.193035],"study_design_scores_gemma":[0.0005656528,0.0001155869,0.001738409,0.0001936845,0.00008082463,0.0003231468,0.0002473106,0.01420041,0.01431545,0.0173506,0.9507109,0.0001579796],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.01146346,0.001116271,0.1954409,0.00178086,0.0009581485,0.00271808,0.09638347,0.599712,0.09042684],"genre_scores_gemma":[0.08947953,0.00340571,0.226566,0.002658464,0.0003955319,0.007299474,0.3120138,0.127078,0.2311034],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.08398116,"threshold_uncertainty_score":0,"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."}}