{"id":"W4254319338","doi":"10.1007/978-1-4939-7131-2_100396","title":"Friend Recommender System","year":2018,"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; Information retrieval","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":[0.0005683245,0.000666058,0.0008082252,0.001556846,0.001368331,0.001561999,0.001228609,0.001248849,0.0372014],"category_scores_gemma":[0.001835642,0.0002997669,0.0006831426,0.00142572,0.0001322731,0.002466511,0.0008112511,0.0009305444,0.03245251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004466982,"about_ca_system_score_gemma":0.0005297612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004460568,"about_ca_topic_score_gemma":0.01198817,"domain_scores_codex":[0.9996049,0.00007117291,0.0000174276,0.0001156977,0.0001572551,0.00003352979],"domain_scores_gemma":[0.9994467,0.00009737279,0.00002010584,0.0001546167,0.0002214955,0.00005970734],"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":[0.0001702513,0.0002793515,0.001792195,0.000402991,0.0001115862,0.0001830876,0.0001841734,0.001688217,0.004988756,0.01529095,0.3159947,0.6589138],"study_design_scores_gemma":[0.00007933146,0.0002996732,0.003348118,0.000151137,0.0002762244,0.001567415,0.0002873143,0.1160366,0.01245066,0.01429331,0.8510538,0.0001565133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04673428,0.01811832,0.4906809,0.004094401,0.003682818,0.001012316,0.008155544,0.03270223,0.3948192],"genre_scores_gemma":[0.1437525,0.008184279,0.2286396,0.001166212,0.001286156,0.0002962322,0.01234331,0.00108282,0.6032489],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0372014,"threshold_uncertainty_score":0.1244511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03278790746785005,"score_gpt":0.2356002959927851,"score_spread":0.2028123885249351,"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."}}