{"id":"W4255190447","doi":"10.1007/978-1-4939-7131-2_100661","title":"Microblogging Data","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Microblogging; Social media; Computer science; World Wide Web","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":[0.001040277,0.001034588,0.0008367909,0.007004661,0.0009134367,0.003354717,0.001013793,0.001000352,0.04607354],"category_scores_gemma":[0.00713831,0.0004869769,0.0005198291,0.006921551,0.0003215788,0.003829553,0.001151278,0.001514819,0.07568954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008363007,"about_ca_system_score_gemma":0.001161796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006963951,"about_ca_topic_score_gemma":0.01382239,"domain_scores_codex":[0.998789,0.0001687577,0.00008330276,0.000214181,0.0006660564,0.00007863327],"domain_scores_gemma":[0.9964353,0.001061521,0.0001644973,0.001194392,0.0009298471,0.0002143935],"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":[0.000060363,0.0001057642,0.002409943,0.0004800386,0.00003483937,0.00005214187,0.000098815,0.0009312183,0.001690647,0.005610082,0.7538335,0.2346926],"study_design_scores_gemma":[0.0000116614,0.00003261849,0.005373041,0.0001462922,0.00002345969,0.0002644002,0.0001216767,0.006746736,0.003454464,0.005959581,0.9778324,0.00003375149],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01995061,0.008711599,0.04268346,0.00491509,0.003100639,0.0005617557,0.7281849,0.01844208,0.1734499],"genre_scores_gemma":[0.06107162,0.006128529,0.04703672,0.001417594,0.001510919,0.0004296059,0.7178122,0.001518391,0.1630743],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04607354,"threshold_uncertainty_score":0.1541313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09295790807081267,"score_gpt":0.2791801599488532,"score_spread":0.1862222518780405,"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."}}