{"id":"W4382394543","doi":"10.18280/ts.400321","title":"An Examination of Implicit Trust and Influence in Social Recommendation Through Graph Convolutional Networks","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Mental Health via Writing","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Graph; Theoretical computer science; Artificial intelligence; Natural language processing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008475685,0.00009457098,0.0001410513,0.0001427117,0.0001286949,0.00001296304,0.00007292716,0.00008693733,0.0006292704],"category_scores_gemma":[0.0000071335,0.0001097208,0.00002053983,0.0003902923,0.00007005401,0.0002554481,0.00002049062,0.0001213307,0.000009076663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006390393,"about_ca_system_score_gemma":0.00001329596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000173782,"about_ca_topic_score_gemma":0.00004605166,"domain_scores_codex":[0.9986939,0.0002350529,0.0004268907,0.0002372225,0.0001434003,0.0002634807],"domain_scores_gemma":[0.9995847,0.0001198543,0.0001488327,0.00005937976,0.00004761755,0.00003955917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005798803,0.001100082,0.4616445,0.0003230597,0.0001023837,0.00001963208,0.03257523,0.001980744,0.0117499,0.1182347,0.002544174,0.3691457],"study_design_scores_gemma":[0.001159363,0.0001900935,0.9880373,0.00002446971,0.00000665357,0.000003204208,0.001951388,0.007260693,0.00005103815,0.00111604,0.0001040151,0.000095695],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962772,0.00001989324,0.001627002,0.0002501732,0.00009881258,0.0003191443,0.00003065097,0.00004594808,0.001331138],"genre_scores_gemma":[0.9990949,0.00001037794,0.0001265986,0.000262529,0.0001447199,0.0000873294,0.0002475604,0.00001112146,0.00001485123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5263928,"threshold_uncertainty_score":0.689007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04972216869009573,"score_gpt":0.3704188392561157,"score_spread":0.32069667056602,"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."}}