{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0003726019,0.0003412949,0.0002757226,0.0004822646,0.0002257549,0.02013271,0.0005907017,0.0001656537,0.001437431],"category_scores_gemma":[0.00007414218,0.0002981789,0.000110464,0.003607618,0.00005536243,0.06248684,0.0003711881,0.0002348137,0.000599641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001207919,"about_ca_system_score_gemma":0.0003541584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001493662,"about_ca_topic_score_gemma":0.0005136261,"domain_scores_codex":[0.9978871,0.0003210715,0.0004776636,0.0003648366,0.000498789,0.0004505401],"domain_scores_gemma":[0.9984326,0.0002784854,0.0002970285,0.0002075724,0.0004083765,0.0003758788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004692511,0.000176118,0.001357901,0.0008713881,0.0002002175,0.00004069262,0.4562646,0.001689891,0.002034463,0.4560399,0.06398348,0.01729442],"study_design_scores_gemma":[0.00295417,0.0006865184,0.07355108,0.0008489745,0.000142081,0.0001944051,0.03872746,0.08922467,0.02141961,0.07253373,0.6976215,0.002095781],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1863975,0.01728205,0.07824678,0.6288265,0.0009843595,0.0007858264,0.0001605744,0.0008332639,0.08648317],"genre_scores_gemma":[0.7754445,0.01722719,0.017103,0.1870128,0.0004205793,0.0000265533,0.0002385542,0.00003767291,0.002489149],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.633638,"threshold_uncertainty_score":0.999947,"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."}}