{"id":"W4396986172","doi":"10.62212/revuepossibles.v48i1.765","title":"Rouge sidéral","year":2024,"lang":"fr","type":"article","venue":"Revue Possibles","topic":"Medical and Biological Sciences","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"ROUGE; Political science; Computer science; Natural language processing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004863611,0.0001527005,0.0002675578,0.00005389822,0.00007288396,0.0001062075,0.0001658455,0.0002234161,0.008735731],"category_scores_gemma":[0.0003385096,0.00009037393,0.0001631601,0.0005366646,0.0004693163,0.0001056711,0.0000706056,0.0003287196,0.004928844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006267675,"about_ca_system_score_gemma":0.0001611286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009024768,"about_ca_topic_score_gemma":0.0000181646,"domain_scores_codex":[0.9985034,0.00006901584,0.0002670454,0.0003890677,0.0002282584,0.0005432006],"domain_scores_gemma":[0.9990827,0.0003026036,0.00002161202,0.0001382217,0.0000223863,0.0004324088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002025078,0.0001763849,0.007526867,0.002587563,0.00006893919,0.001339777,0.0002395456,0.00000231404,0.003475912,0.09043348,0.05239324,0.8417357],"study_design_scores_gemma":[0.0001705297,0.0005971584,0.01027763,0.005300047,0.0001408555,0.0003521085,0.0001282165,0.003314683,0.0004945847,0.01697802,0.9620293,0.0002168592],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1264305,0.6074595,0.0002910398,0.1534449,0.01479743,0.0002888229,0.00009494073,0.0002641549,0.09692863],"genre_scores_gemma":[0.7921926,0.01389875,0.0007451694,0.001300553,0.009478769,0.00001176684,0.00002955851,0.000009588724,0.1823332],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9096361,"threshold_uncertainty_score":0.9958459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04599272034959318,"score_gpt":0.3185593024478338,"score_spread":0.2725665820982406,"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."}}