{"id":"W4243978387","doi":"10.1007/978-1-4614-6170-8_110104","title":"Social Recommender System","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Sentiment Analysis and Opinion Mining","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":[0.000729893,0.0006020697,0.0006853368,0.001137466,0.0009422312,0.001492522,0.0009431312,0.0009668709,0.01990502],"category_scores_gemma":[0.001391865,0.0002593721,0.0005262518,0.001425143,0.0002149129,0.002290963,0.0008929772,0.0008532473,0.01856679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005271705,"about_ca_system_score_gemma":0.0006356945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002570856,"about_ca_topic_score_gemma":0.005718143,"domain_scores_codex":[0.9995407,0.0000793197,0.00002322166,0.0001017603,0.0002227652,0.00003215113],"domain_scores_gemma":[0.9995568,0.00008860692,0.00001764124,0.00009936193,0.0002005098,0.00003696749],"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":[0.00005530319,0.0001599284,0.0008185736,0.0003856474,0.00008727056,0.0001084743,0.0001462971,0.001869854,0.00545447,0.04249898,0.1512208,0.7971944],"study_design_scores_gemma":[0.00003577164,0.0001524048,0.001935574,0.000189077,0.0001633854,0.0007654955,0.0001859219,0.08160301,0.008158696,0.04131109,0.8654086,0.00009090479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02567356,0.01614516,0.5102267,0.005191564,0.003503698,0.000753808,0.002227072,0.007582118,0.4286963],"genre_scores_gemma":[0.1541685,0.01389318,0.2843507,0.001393035,0.001707021,0.0003420667,0.004215002,0.0005432121,0.5393872],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01990502,"threshold_uncertainty_score":0.06658894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0430229079468319,"score_gpt":0.2598264340325602,"score_spread":0.2168035260857283,"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."}}