{"id":"W3023887854","doi":"10.1145/3340631.3394884","title":"Keen2Act: Activity Recommendation in Online Social Collaborative Platforms","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Expert finding and Q&A systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Recommender system; Baseline (sea); Set (abstract data type); Quality (philosophy); World Wide Web; Decomposition; Information retrieval; Collaborative filtering; Productivity; Data science","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":[0.002486385,0.002220371,0.001694588,0.005451899,0.001351174,0.002265619,0.003818337,0.003210585,0.003004443],"category_scores_gemma":[0.008009413,0.0008089935,0.001637936,0.005439273,0.0004746671,0.00424053,0.001927582,0.002145946,0.003031573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001416525,"about_ca_system_score_gemma":0.001725134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04976274,"about_ca_topic_score_gemma":0.109528,"domain_scores_codex":[0.9980701,0.0004874335,0.0001415783,0.0006890262,0.0004817634,0.000130191],"domain_scores_gemma":[0.9963455,0.001582814,0.0003068354,0.000895405,0.0006076615,0.0002618607],"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":[0.001837022,0.002807699,0.0523361,0.001857364,0.001210057,0.0007550314,0.0007293936,0.154711,0.005347316,0.009263725,0.07852597,0.6906193],"study_design_scores_gemma":[0.0001465828,0.0003334497,0.01033942,0.0001000599,0.000164708,0.0004000152,0.0001734923,0.9481201,0.002703341,0.007841622,0.02957466,0.0001025883],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2111231,0.01451605,0.6843001,0.00389834,0.000756386,0.002647863,0.02842509,0.02947011,0.02486294],"genre_scores_gemma":[0.385016,0.002800513,0.5590202,0.0009061611,0.0003827382,0.0006987234,0.02746401,0.0003225316,0.02338918],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04976274,"threshold_uncertainty_score":0.09894621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06766840699827406,"score_gpt":0.3294889596950018,"score_spread":0.2618205526967278,"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."}}