{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008976941,0.0001381997,0.0002045873,0.00008282971,0.0007490807,0.0002432164,0.0003611273,0.00005819893,0.00001303532],"category_scores_gemma":[0.0000168182,0.000136232,0.00005585262,0.0002204006,0.00002199793,0.000442058,0.0002786418,0.0002788306,0.000001421959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002323759,"about_ca_system_score_gemma":0.00008132887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003405986,"about_ca_topic_score_gemma":0.00002397213,"domain_scores_codex":[0.9983831,0.0004343072,0.0003596248,0.0003748673,0.0002508179,0.0001972684],"domain_scores_gemma":[0.9993898,0.0001142286,0.0002283378,0.0001590909,0.000052207,0.00005636012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001816145,0.0002895561,0.01112526,0.0003087117,0.000145213,0.000005444297,0.101023,0.002130279,0.001120311,0.7706064,0.02810834,0.08511932],"study_design_scores_gemma":[0.0006534801,0.0002398079,0.004858667,0.00004587547,0.00001459111,0.00006096191,0.01217171,0.9472394,0.00004106306,0.01261384,0.02153807,0.0005225625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1851382,0.0002690609,0.8077605,0.00116319,0.0005080647,0.0008976051,0.00006869916,0.0005057599,0.003688904],"genre_scores_gemma":[0.9949996,0.00000338075,0.004095401,0.00008519405,0.0000722367,0.0003743398,0.00001974298,0.00001292255,0.0003371363],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9451091,"threshold_uncertainty_score":0.5761399,"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."}}