{"id":"W18981323","doi":"10.1161/hypertensionaha.108.120923","title":"Évaluation multicritères du site WEB du Ministère des Ressources Humaines et Développement Social du Canada","year":2008,"lang":"fr","type":"article","venue":"","topic":"Web Applications and Data Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.008642735,0.0007018964,0.0009162451,0.00562356,0.002495954,0.003523705,0.001052734,0.0004784851,0.004696812],"category_scores_gemma":[0.01948903,0.0003840796,0.001039947,0.0101758,0.001214665,0.0009800442,0.001669276,0.0006735265,0.0005580535],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02825071,"about_ca_system_score_gemma":0.03711338,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.926284,"about_ca_topic_score_gemma":0.9538207,"domain_scores_codex":[0.9912933,0.001588229,0.0003624164,0.0008882585,0.005070442,0.0007973255],"domain_scores_gemma":[0.9681761,0.005391718,0.001385173,0.0009842984,0.02302321,0.001039482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00169169,0.0006410433,0.5152177,0.003170642,0.00126949,0.0004720507,0.01932953,0.02350372,0.01351109,0.01489931,0.01854617,0.3877476],"study_design_scores_gemma":[0.00009932097,0.0004163557,0.9046548,0.0005396016,0.0005162721,0.0001049378,0.01585059,0.02219928,0.0127572,0.001058883,0.04163479,0.0001679682],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9250665,0.001810355,0.01505994,0.0006270631,0.00007013882,0.001080467,0.009113402,0.0004718205,0.04670027],"genre_scores_gemma":[0.942363,0.0009410493,0.02455507,0.0001236264,0.00001732723,0.0008245818,0.005016583,0.0001414094,0.02601742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9717493,"threshold_uncertainty_score":0.2049742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0655818363090232,"score_gpt":0.2731447007626718,"score_spread":0.2075628644536486,"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."}}