{"id":"W4388479274","doi":"10.18280/ria.370507","title":"Fake Review Detection Using Machine Learning","year":2023,"lang":"fr","type":"article","venue":"Revue d intelligence artificielle","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Machine learning","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":[0.002417889,0.0007838906,0.001157356,0.004058977,0.0006077677,0.001741175,0.0008794462,0.001034285,0.0006182256],"category_scores_gemma":[0.01158595,0.0002234611,0.0006626106,0.001513792,0.0003783772,0.001212292,0.0005583001,0.0008212403,0.0009473302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008417091,"about_ca_system_score_gemma":0.001021404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002351055,"about_ca_topic_score_gemma":0.002565602,"domain_scores_codex":[0.9970692,0.0009672992,0.0002694527,0.0005328539,0.0009634766,0.0001977583],"domain_scores_gemma":[0.9894413,0.004624749,0.002043836,0.0007353516,0.002976615,0.0001781086],"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":[0.0004863144,0.000650302,0.05071756,0.0003938222,0.0002539976,0.0005505731,0.0002548792,0.0611356,0.01432876,0.002224339,0.009923997,0.8590798],"study_design_scores_gemma":[0.00001276327,0.0001305413,0.007850862,0.00003375778,0.00003337082,0.0002506966,0.00008605025,0.9779773,0.009646191,0.001475219,0.002481993,0.00002128995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4505884,0.004504693,0.5297626,0.001385161,0.0004781428,0.0006295506,0.0008955564,0.003912756,0.007843126],"genre_scores_gemma":[0.8808164,0.0005567148,0.1146218,0.0001528255,0.0002991514,0.0001381934,0.0007639696,0.00003802989,0.002612954],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004058977,"threshold_uncertainty_score":0.01278716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1306834699764744,"score_gpt":0.3649961195588555,"score_spread":0.2343126495823811,"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."}}