{"id":"W2551183512","doi":"10.5555/3192424.3192499","title":"Twitter message recommendation based on user interest profiles","year":2016,"lang":"en","type":"article","venue":"Advances in Social Networks Analysis and Mining","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Microblogging; Social media; Recommender system; Information retrieval; World Wide Web; Volume (thermodynamics); Track (disk drive); 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":[0.0004492401,0.00012344,0.0002636435,0.0002212833,0.0001315665,0.00009567365,0.0002047779,0.00006837658,0.00002318716],"category_scores_gemma":[0.00001290173,0.0000838145,0.00008912205,0.0006270522,0.00003208759,0.000519541,0.0000802638,0.00007388311,6.970383e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003728213,"about_ca_system_score_gemma":0.000006727265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001454576,"about_ca_topic_score_gemma":0.000175355,"domain_scores_codex":[0.9989552,0.0001347087,0.0002728713,0.0003437498,0.00008752683,0.000205947],"domain_scores_gemma":[0.9994053,0.0002108299,0.0001616005,0.00015995,0.00002838088,0.00003394836],"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":[0.0000116781,0.00004421169,0.07509916,0.000007708225,0.00007813101,0.000004175939,0.0003898741,0.0003019763,0.00001629343,0.008524219,0.001778814,0.9137437],"study_design_scores_gemma":[0.002397012,0.0004758795,0.06625551,0.0008440464,0.0002727114,0.000002591141,0.0009638675,0.6518409,0.0005832888,0.005586917,0.2691045,0.001672811],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005611737,0.0001547457,0.988773,0.001968559,0.0001432302,0.00008395188,0.000001222913,0.00006458755,0.003198924],"genre_scores_gemma":[0.9892111,0.0002069572,0.009829258,0.0004448282,0.0001442109,0.00003761725,0.000004984357,0.000005714955,0.000115313],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9835994,"threshold_uncertainty_score":0.3417856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02488815829342186,"score_gpt":0.3025892409081704,"score_spread":0.2777010826147485,"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."}}