{"id":"W2398352439","doi":"","title":"Information Retrieval: Technology, Evaluation and Beyond.","year":2011,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Information retrieval; Computer science; Data 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.002932719,0.0004102711,0.0003551553,0.001440159,0.0007074141,0.001207399,0.0006659364,0.0006232469,0.0003928838],"category_scores_gemma":[0.001176683,0.0004286039,0.0001042347,0.00237724,0.00111214,0.045059,0.0004492512,0.0005150599,0.001426564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006442975,"about_ca_system_score_gemma":0.0006188129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003026315,"about_ca_topic_score_gemma":0.000009839934,"domain_scores_codex":[0.9961083,0.0001976458,0.001568605,0.0001874828,0.001180348,0.0007576288],"domain_scores_gemma":[0.9951133,0.00006018814,0.0008843708,0.0006308502,0.00303811,0.0002731511],"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":[0.00007249151,0.00004162702,0.0008462843,0.0004351854,0.00003708262,0.000001786168,0.051607,0.00002391137,0.00001641244,0.2171129,0.0009115062,0.7288938],"study_design_scores_gemma":[0.006731813,0.002709112,0.07139271,0.001464927,0.0005447068,0.00160574,0.04435457,0.4538195,0.01459338,0.1868434,0.2126793,0.003260912],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2343699,0.004734175,0.5251378,0.004861715,0.007952421,0.00528975,0.0002775451,0.001510198,0.2158664],"genre_scores_gemma":[0.9757466,0.0005903138,0.02146713,0.001159403,0.0001014559,0.0001258245,0.0002882252,0.00001853587,0.0005024538],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7413767,"threshold_uncertainty_score":0.9998295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04226171549609193,"score_gpt":0.2712298965926768,"score_spread":0.2289681810965848,"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."}}