{"id":"W1964597053","doi":"10.3166/isi.9.3-4.83-108","title":"Extraction itérative de requêtes fréquentes","year":2004,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Extraction (chemistry); Chemistry; Chromatography","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":[0.007919732,0.0020229,0.00303368,0.006489192,0.00176934,0.005586859,0.003553745,0.002391881,0.00385712],"category_scores_gemma":[0.05387001,0.001790331,0.004383446,0.0056457,0.002042109,0.007524531,0.004837247,0.002837233,0.002193882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001169074,"about_ca_system_score_gemma":0.002553086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002373752,"about_ca_topic_score_gemma":0.003012327,"domain_scores_codex":[0.9797092,0.004208082,0.002122671,0.003809441,0.009176905,0.0009737285],"domain_scores_gemma":[0.9423898,0.03782545,0.002632007,0.009092984,0.007457569,0.0006021061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001167759,0.0004681294,0.01737533,0.001455066,0.000643689,0.001917866,0.002979162,0.02060744,0.03964719,0.0646845,0.006354624,0.8426993],"study_design_scores_gemma":[0.0004062052,0.0009444114,0.01540429,0.0005163131,0.0009599124,0.00792332,0.002297082,0.5743202,0.1319422,0.1952472,0.0696281,0.0004107882],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04997724,0.001068597,0.9417796,0.0003344147,0.00008432256,0.0004939892,0.0008331081,0.003329586,0.002099168],"genre_scores_gemma":[0.1813612,0.000854669,0.8088293,0.0002136589,0.0002005053,0.0004608932,0.004212216,0.0007863616,0.003081193],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007919732,"threshold_uncertainty_score":0.04188401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02211716344672563,"score_gpt":0.2676820153084425,"score_spread":0.2455648518617169,"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."}}