{"id":"W2014988080","doi":"10.3166/ria.23.133-153","title":"ERS, une plate-forme bibliométrique. Présentation d'une plate-forme web de mesure bibliométrique des revues en informatique","year":2009,"lang":"fr","type":"article","venue":"Revue d intelligence artificielle","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art; Library science; Computer 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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.001710523,0.001214364,0.0008010684,0.009758721,0.0009889964,0.006573647,0.0011071,0.001391532,0.07171772],"category_scores_gemma":[0.01130874,0.0007683369,0.0009927725,0.01165315,0.001192614,0.004575851,0.001724188,0.001744901,0.03800402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001320407,"about_ca_system_score_gemma":0.001255417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02062129,"about_ca_topic_score_gemma":0.01533791,"domain_scores_codex":[0.9967911,0.000510125,0.0002546483,0.0003713099,0.001948315,0.0001245308],"domain_scores_gemma":[0.9936895,0.002064873,0.0003379689,0.0008317262,0.002854587,0.000221363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005593001,0.00007278812,0.003952371,0.00170507,0.0002114265,0.0006415888,0.001051761,0.01037991,0.01089348,0.1072837,0.448595,0.4146535],"study_design_scores_gemma":[0.00003524986,0.00002510718,0.004830215,0.0002817737,0.00003143163,0.0006785818,0.0005048912,0.0120504,0.007974112,0.02205255,0.951438,0.00009764018],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02454282,0.01319238,0.4891855,0.01607557,0.006175343,0.0004426388,0.1034954,0.04022408,0.3066662],"genre_scores_gemma":[0.2068506,0.01590809,0.35688,0.001791589,0.002989378,0.0008603222,0.07710622,0.007834896,0.3297789],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9902413,"threshold_uncertainty_score":0.2399197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2564065870589194,"score_gpt":0.4863341707415813,"score_spread":0.2299275836826619,"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."}}