{"id":"W3021274907","doi":"10.7202/1068659ar","title":"Développer un service de veilles informationnelles en santé et services sociaux","year":2020,"lang":"fr","type":"article","venue":"Documentation et bibliothèques","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre intégré de santé et de services sociaux de Chaudière-Appalaches","funders":"","keywords":"Political science; Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01494546,0.0006949804,0.0007104415,0.005661492,0.00757229,0.0135563,0.001786389,0.004244228,0.04124209],"category_scores_gemma":[0.02717912,0.0007357004,0.0008158548,0.01043215,0.003514895,0.01008363,0.007450788,0.005050129,0.01253792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01954221,"about_ca_system_score_gemma":0.05022473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07084254,"about_ca_topic_score_gemma":0.1033718,"domain_scores_codex":[0.9856377,0.0054388,0.001192762,0.001406563,0.004814382,0.001509892],"domain_scores_gemma":[0.9760773,0.006721589,0.001638523,0.002014572,0.008674053,0.004873923],"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":[0.0001309272,0.0003949113,0.01279388,0.002531572,0.00005526746,0.0007146196,0.03723333,0.0008608185,0.003221295,0.1701101,0.118642,0.6533113],"study_design_scores_gemma":[0.00001688767,0.00008182892,0.007686281,0.001082412,0.00001819939,0.0002249546,0.01080226,0.0003769389,0.0009137016,0.004562511,0.9741924,0.00004169015],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08783064,0.04110193,0.08126064,0.1762595,0.0063665,0.001707206,0.002626958,0.003274962,0.5995716],"genre_scores_gemma":[0.3384356,0.0461681,0.1272961,0.01876938,0.001676682,0.001321958,0.003638478,0.001369562,0.4613241],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07084254,"threshold_uncertainty_score":0.1417893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1304615457707209,"score_gpt":0.3705332977137397,"score_spread":0.2400717519430189,"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."}}