{"id":"W4307623976","doi":"10.3390/systems10060198","title":"Mobile Social Recommendation Model Integrating Users’ Personality Traits and Relationship Strength under Privacy Concerns","year":2022,"lang":"en","type":"article","venue":"Systems","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"National Natural Science Foundation of China","keywords":"Openness to experience; Big Five personality traits; Agreeableness; Personality; Computer science; Recommender system; Extraversion and introversion; Domain (mathematical analysis); Similarity (geometry); Information privacy; Social network (sociolinguistics); Empirical research; Internet privacy; Artificial intelligence; World Wide Web; Social media; Psychology; Social psychology; Mathematics","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":[0.001097819,0.0007738486,0.0005899571,0.001596375,0.0005776065,0.001037314,0.001334187,0.0007746675,0.001661621],"category_scores_gemma":[0.0029302,0.0003188125,0.001093422,0.001432672,0.000336137,0.001914696,0.0005625606,0.0007654659,0.0006018222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008785399,"about_ca_system_score_gemma":0.0008622606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02027039,"about_ca_topic_score_gemma":0.02442562,"domain_scores_codex":[0.9988815,0.0003053185,0.00008894712,0.0003378605,0.0002818241,0.0001044894],"domain_scores_gemma":[0.9986314,0.0005452167,0.0001825579,0.0001468741,0.0004089061,0.00008494232],"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":[0.0004759275,0.0007159003,0.117504,0.0003789831,0.0009889619,0.00106948,0.001409216,0.4007414,0.008597498,0.0370298,0.006200811,0.424888],"study_design_scores_gemma":[0.00001803958,0.0001340473,0.0107863,0.00002063287,0.0001541074,0.000278975,0.0001253788,0.9804849,0.000665396,0.005009087,0.002285064,0.00003810879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2159622,0.001047594,0.7695252,0.001193756,0.0001091662,0.0002976863,0.0009085914,0.0007613519,0.01019437],"genre_scores_gemma":[0.9183989,0.0004719392,0.074926,0.0001217061,0.00006914293,0.0002141921,0.0005505284,0.00001788204,0.005229651],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02027039,"threshold_uncertainty_score":0.04030484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08943237242749995,"score_gpt":0.3181802062948313,"score_spread":0.2287478338673313,"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."}}