{"id":"W2394943030","doi":"","title":"Usefulness Evaluation on Visualization of Researcher Networks.","year":2011,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Visualization; Computer science; Data science; Artificial intelligence","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":[0.01110744,0.0008944665,0.0005916263,0.01266648,0.000714543,0.002653424,0.0006370067,0.00087621,0.00327459],"category_scores_gemma":[0.09809843,0.0001916841,0.0004680398,0.006361985,0.0004575154,0.003741183,0.001443308,0.0005030874,0.0004840825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000949384,"about_ca_system_score_gemma":0.0006781168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002398971,"about_ca_topic_score_gemma":0.003239923,"domain_scores_codex":[0.9888217,0.007136564,0.0005762085,0.0006294057,0.00254636,0.000289706],"domain_scores_gemma":[0.8987916,0.07543755,0.005439496,0.004930398,0.01322387,0.002177078],"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":[0.003769211,0.000695688,0.3013171,0.002336126,0.0007244885,0.000615765,0.007270248,0.03301287,0.009683629,0.01971465,0.02755339,0.5933069],"study_design_scores_gemma":[0.0003022832,0.002284166,0.3592578,0.001053428,0.001008695,0.001704991,0.007924743,0.5349603,0.01794316,0.04282892,0.03047474,0.0002567782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8228537,0.005523856,0.1305895,0.001330352,0.000281029,0.0005851146,0.006855919,0.003743718,0.02823679],"genre_scores_gemma":[0.9643347,0.0005752286,0.03062501,0.00003523376,0.00007680372,0.0001939963,0.002356438,0.0001575961,0.001644966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9873335,"threshold_uncertainty_score":0.05874246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1271827700784808,"score_gpt":0.3378014390474771,"score_spread":0.2106186689689963,"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."}}