{"id":"W1969838600","doi":"10.3166/isi.11.4.81-97","title":"Réduction de l'espace de recherche par les techniques d'élagage","year":2006,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Art","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003694502,0.000406455,0.0003847671,0.0005395757,0.0006019497,0.0008835996,0.0007445957,0.0008333218,0.00005184891],"category_scores_gemma":[0.0008537575,0.000465156,0.0002123027,0.001448424,0.0004472362,0.009348142,0.0002170762,0.0008026625,0.00009114124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003665202,"about_ca_system_score_gemma":0.000454722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002330904,"about_ca_topic_score_gemma":0.0001955357,"domain_scores_codex":[0.9965287,0.0009394301,0.0009808269,0.0003167862,0.0004020541,0.0008321364],"domain_scores_gemma":[0.997561,0.0002671299,0.0007390133,0.0006953555,0.0005962251,0.0001413005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002456464,0.0000887604,0.001730964,0.0004451066,0.00004027876,0.00001390311,0.006420488,0.001143972,0.00591453,0.1230702,0.007807093,0.8533001],"study_design_scores_gemma":[0.0002815739,0.0002512664,0.00536188,0.0008864618,0.0001148871,0.0004651282,0.0009393816,0.05477684,0.3238861,0.3996386,0.2123559,0.001041992],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01730465,0.001370671,0.9529437,0.001160772,0.0002472843,0.0004325054,0.00001211289,0.001569149,0.02495911],"genre_scores_gemma":[0.3841832,0.0005537063,0.6121179,0.000320143,0.0003412252,0.000134205,0.00005118712,0.00002894143,0.00226956],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8522581,"threshold_uncertainty_score":0.99978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0592299782641279,"score_gpt":0.317243919151696,"score_spread":0.2580139408875681,"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."}}