{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001185807,0.001425483,0.001350612,0.002414243,0.002758839,0.004594254,0.001339443,0.003294711,0.5295445],"category_scores_gemma":[0.00331635,0.0007072189,0.0007609547,0.001310501,0.001147349,0.001548084,0.002027555,0.00275091,0.2617985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00235443,"about_ca_system_score_gemma":0.003622231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0307981,"about_ca_topic_score_gemma":0.05115769,"domain_scores_codex":[0.9981745,0.0001934497,0.00005939467,0.0005198475,0.0008632265,0.0001895434],"domain_scores_gemma":[0.9978052,0.0004925532,0.0001833551,0.0002846062,0.0007181343,0.000516321],"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":[0.002069996,0.0002593351,0.005770656,0.0008273705,0.000087578,0.002830591,0.0008242172,0.001290517,0.01325791,0.0442272,0.4549482,0.4736064],"study_design_scores_gemma":[0.00005863733,0.0001305764,0.002772565,0.0001610161,0.00001299149,0.00105383,0.0003040853,0.0003021708,0.00180253,0.001204317,0.9921694,0.00002774288],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01840215,0.02519043,0.006972234,0.01072481,0.005410202,0.0001754673,0.009253862,0.006881319,0.9169896],"genre_scores_gemma":[0.02486282,0.003196634,0.003847346,0.000979615,0.0003163284,0.00005566923,0.002440856,0.0007202055,0.9635805],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5295445,"threshold_uncertainty_score":0.6710477,"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."}}