{"id":"W117904809","doi":"10.3166/isi.10.1.33-57","title":"Recherche d'information. Analyse des résultats de différents systèmes réalisant la même tâche","year":2005,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science","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":[0.03242073,0.002501817,0.002768821,0.008292269,0.0009242314,0.00609303,0.001771019,0.002295612,0.00566761],"category_scores_gemma":[0.09639737,0.0007145467,0.003098523,0.007426643,0.001954149,0.006458148,0.002169084,0.002031701,0.008720494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001334046,"about_ca_system_score_gemma":0.001680461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003395152,"about_ca_topic_score_gemma":0.001935723,"domain_scores_codex":[0.9511786,0.02222713,0.002628812,0.005638508,0.0175148,0.0008122111],"domain_scores_gemma":[0.8752502,0.08439618,0.004599473,0.01869055,0.01550051,0.001563144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003164747,0.0009968207,0.05778699,0.007571999,0.004108341,0.0004823442,0.004053184,0.008747258,0.06224106,0.007001834,0.04323129,0.8006142],"study_design_scores_gemma":[0.001008524,0.01097956,0.2948187,0.001507735,0.008896146,0.004716156,0.00519804,0.08598159,0.2821319,0.02697377,0.276906,0.0008818857],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4903984,0.1086015,0.2820842,0.007517093,0.002270934,0.00216149,0.03932382,0.0140398,0.05360282],"genre_scores_gemma":[0.7449802,0.01585759,0.1717644,0.001053225,0.001036148,0.001199484,0.0443145,0.002380697,0.01741374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03242073,"threshold_uncertainty_score":0.1714593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06425829610738738,"score_gpt":0.2950916923317034,"score_spread":0.230833396224316,"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."}}