{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02956179,0.0008942433,0.001805675,0.006237492,0.0007919393,0.009530144,0.001242283,0.003940714,0.005566606],"category_scores_gemma":[0.05967829,0.0005836803,0.0003367157,0.007481225,0.008281359,0.02025884,0.002407633,0.002234555,0.002797029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003110379,"about_ca_system_score_gemma":0.00356551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002559132,"about_ca_topic_score_gemma":0.002406215,"domain_scores_codex":[0.9753436,0.01367691,0.001656383,0.0008028999,0.008115981,0.0004041158],"domain_scores_gemma":[0.9355858,0.0511082,0.002284248,0.00380993,0.006019175,0.001192636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001837907,0.0001438507,0.005511374,0.003827095,0.0001879239,0.0001128947,0.00123467,0.0008285533,0.00115126,0.2256115,0.08944795,0.6717591],"study_design_scores_gemma":[0.00009493923,0.0005075405,0.01865092,0.006852016,0.0002646258,0.001213285,0.00326466,0.005300434,0.003189871,0.5266064,0.4338948,0.0001604167],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.005062642,0.8773716,0.02631061,0.03507615,0.001710522,0.00009546283,0.000268042,0.000329291,0.05377556],"genre_scores_gemma":[0.3725452,0.5268629,0.04705717,0.009066585,0.01020031,0.0004710094,0.0006789853,0.0002790522,0.0328389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02956179,"threshold_uncertainty_score":0.1563395,"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."}}