{"id":"W4206804300","doi":"10.3917/pls.523.0022","title":"Évaluation par les pairs ou par les tweets ?","year":2021,"lang":"fr","type":"article","venue":"Pour la Science","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Political science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0094737,0.001943995,0.001132846,0.005320287,0.001500621,0.006651303,0.0007833209,0.001488925,0.02009673],"category_scores_gemma":[0.0576101,0.0004332188,0.001176464,0.004383088,0.000972967,0.006273608,0.001846974,0.001343446,0.01030509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001417344,"about_ca_system_score_gemma":0.002384645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01000321,"about_ca_topic_score_gemma":0.009127367,"domain_scores_codex":[0.9755583,0.01384657,0.001407257,0.001994376,0.006399877,0.000793629],"domain_scores_gemma":[0.97111,0.01430524,0.001953689,0.002720025,0.009011034,0.0008999059],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006482856,0.001166521,0.08943592,0.002640681,0.001384466,0.001081015,0.004065014,0.01155222,0.02521178,0.01871087,0.1229718,0.7152969],"study_design_scores_gemma":[0.00118157,0.004322944,0.1396906,0.00225836,0.002280111,0.002994179,0.03159212,0.1530989,0.1015248,0.03968145,0.5206397,0.0007352221],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.5716723,0.009051951,0.2069608,0.01313451,0.007840699,0.003698264,0.0513838,0.005743896,0.1305138],"genre_scores_gemma":[0.8040289,0.002424139,0.1106601,0.0008502386,0.001683497,0.002525036,0.02573235,0.00138819,0.05070753],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9905263,"threshold_uncertainty_score":0.06723022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3240440089828006,"score_gpt":0.3360543264533934,"score_spread":0.01201031747059284,"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."}}