{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0008031745,0.000288742,0.000242728,0.0001008441,0.002086625,0.0003933257,0.0007772853,0.00007347398,0.0003257644],"category_scores_gemma":[0.0001107662,0.000287841,0.00007555386,0.0004758477,0.0003995531,0.0006635851,0.0006091893,0.0001075853,0.0001053199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003103739,"about_ca_system_score_gemma":0.0006659111,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3775724,"about_ca_topic_score_gemma":0.6467852,"domain_scores_codex":[0.9974045,0.0002283046,0.000503271,0.00063574,0.0007415094,0.0004867045],"domain_scores_gemma":[0.998567,0.0001807597,0.0001745177,0.000542569,0.0003951059,0.0001400336],"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":[0.00001815896,0.0006133218,0.0309973,0.0001593207,0.0001303981,0.0001789442,0.02888049,0.0009076929,0.0002246871,0.1485815,0.7415706,0.04773762],"study_design_scores_gemma":[0.0006091894,0.00004622373,0.136695,0.00002665073,0.0000407844,0.0000401293,0.0005663096,0.09484626,0.0001422538,0.0006146762,0.7659943,0.000378298],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6694618,0.0009372667,0.09792932,0.2141639,0.001139412,0.0007762063,0.0001811997,0.0001704564,0.01524052],"genre_scores_gemma":[0.941913,0.002065249,0.04592246,0.003203352,0.0007612992,0.0001146646,0.000149381,0.00002217504,0.005848384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2724513,"threshold_uncertainty_score":0.9999574,"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."}}