{"id":"W4242574039","doi":"10.1007/978-1-4614-6170-8_100825","title":"Friend Recommender System","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Text and Document Classification Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Recommender system; 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":[0.0005688583,0.0006587891,0.0008205906,0.001510166,0.001311281,0.001491272,0.001259812,0.001199316,0.0345258],"category_scores_gemma":[0.001729298,0.000304464,0.0006429643,0.00141607,0.0001345971,0.002425272,0.0008033679,0.0008931124,0.03007234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000441377,"about_ca_system_score_gemma":0.0004954521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004425875,"about_ca_topic_score_gemma":0.01204512,"domain_scores_codex":[0.9996074,0.00007101768,0.00001678021,0.0001116445,0.0001606896,0.00003260033],"domain_scores_gemma":[0.9994905,0.00009350712,0.00001860467,0.0001399115,0.0002054164,0.0000520121],"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":[0.0001504381,0.000256752,0.001610817,0.0003710951,0.0001066368,0.0001667328,0.0001829191,0.001770161,0.004634568,0.01558524,0.2800527,0.695112],"study_design_scores_gemma":[0.00007222248,0.0002944466,0.003363851,0.0001541632,0.0002570232,0.001635852,0.0002899621,0.1209912,0.01280183,0.01554029,0.844439,0.0001602864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04299296,0.01763548,0.529309,0.003585687,0.003095477,0.0009091972,0.00669321,0.02819869,0.3675804],"genre_scores_gemma":[0.1336643,0.008052981,0.2413524,0.00103793,0.001108306,0.0002684921,0.01025544,0.0009745766,0.6032855],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0345258,"threshold_uncertainty_score":0.1155003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02477368503885221,"score_gpt":0.2201684201543449,"score_spread":0.1953947351154927,"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."}}