{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006402722,0.000327377,0.0003005308,0.0002318337,0.0005960242,0.0005429454,0.0002930452,0.000217478,0.00005781899],"category_scores_gemma":[0.0005533842,0.0003442819,0.0001175318,0.0006554894,0.0003589799,0.0244042,0.0001540703,0.0003013354,0.000603297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001229394,"about_ca_system_score_gemma":0.0005398786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001700571,"about_ca_topic_score_gemma":0.0001311937,"domain_scores_codex":[0.9977478,0.0001385199,0.0008592588,0.0002499284,0.0003681948,0.0006363216],"domain_scores_gemma":[0.998069,0.0001132502,0.0006273513,0.0004863735,0.0005147552,0.0001892054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002469161,0.00005562968,0.000211378,0.0005954771,0.00004687468,0.00002476033,0.02605694,0.00906869,0.0005439537,0.8309578,0.0006081905,0.1318056],"study_design_scores_gemma":[0.002168725,0.00074779,0.007515613,0.004752913,0.00007718214,0.002220449,0.01137298,0.02704255,0.0290586,0.1726835,0.7407381,0.001621641],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01699196,0.003241543,0.9639294,0.001072465,0.002162588,0.0004205951,0.000121561,0.0002823619,0.01177753],"genre_scores_gemma":[0.5660066,0.0009975011,0.4289069,0.0009212982,0.0007181856,0.0001769368,0.0002530043,0.00003629135,0.001983268],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7401299,"threshold_uncertainty_score":0.9999009,"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."}}