{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003175493,0.0002584208,0.0004481947,0.0001661471,0.0001126583,0.0002465913,0.0007681088,0.0003425297,0.00002587668],"category_scores_gemma":[0.00005684899,0.0002315877,0.00008550588,0.0005523204,0.00002175034,0.0003767233,0.001137899,0.0007633172,0.00003967938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002978883,"about_ca_system_score_gemma":0.0003662089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004658822,"about_ca_topic_score_gemma":0.0005892108,"domain_scores_codex":[0.9983589,0.00009156855,0.0003441074,0.0007034759,0.0002492764,0.0002526391],"domain_scores_gemma":[0.9991359,0.00009041458,0.0002919215,0.0003088637,0.00009521121,0.00007769543],"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":[0.000285525,0.002436331,0.006485793,0.000908435,0.0004836695,0.0001613667,0.1370369,0.0006323547,0.006015561,0.1183228,0.1140731,0.6131582],"study_design_scores_gemma":[0.004736663,0.0006695847,0.05796956,0.0008132158,0.00003522427,0.00002081426,0.005228058,0.7915809,0.01276813,0.05636691,0.06508765,0.004723353],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3316192,0.00007173394,0.5756499,0.05819064,0.005696816,0.001809761,0.0003318944,0.001229614,0.02540037],"genre_scores_gemma":[0.9863396,0.0000207951,0.01216267,0.0004434472,0.0004837452,0.00005708376,0.0001654784,0.0000158062,0.0003114284],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7909485,"threshold_uncertainty_score":0.9443873,"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."}}