{"id":"W2295182362","doi":"10.3166/isi.20.4.63-84","title":"Une approche de filtrage d’opinions à base de crédibilité dans un contexte de réseaux sociaux","year":2015,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Humanities; Computer science; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002620136,0.001025863,0.00111061,0.002994937,0.001678591,0.004580556,0.00211504,0.002640689,0.007087497],"category_scores_gemma":[0.01110262,0.0005048857,0.001722779,0.002126222,0.0007715534,0.005531906,0.001966408,0.002701007,0.003050244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001216223,"about_ca_system_score_gemma":0.001430988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01200611,"about_ca_topic_score_gemma":0.01427325,"domain_scores_codex":[0.9968427,0.000600864,0.0002082113,0.0007663987,0.001369203,0.0002126269],"domain_scores_gemma":[0.9954189,0.002006612,0.0002551251,0.0007684642,0.001330434,0.0002204107],"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":[0.0009155259,0.0006612281,0.0076369,0.0005362566,0.000328704,0.0007146268,0.002015802,0.02940297,0.01564144,0.04896375,0.02394962,0.8692332],"study_design_scores_gemma":[0.0001853224,0.0002649792,0.004596641,0.000290541,0.0002572257,0.0006803526,0.001066641,0.85727,0.01740986,0.04824611,0.06959622,0.0001361538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03626246,0.0006590695,0.9435546,0.002132253,0.0003953962,0.000336482,0.001174447,0.006859342,0.008625953],"genre_scores_gemma":[0.3338562,0.0005713286,0.6493006,0.0004469334,0.0002999476,0.0002858908,0.002335561,0.0002549929,0.01264858],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01200611,"threshold_uncertainty_score":0.02387244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04588700816953806,"score_gpt":0.2828475182366679,"score_spread":0.2369605100671299,"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."}}